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Everything we do, in one place.

Fourteen capabilities under one engineering standard. Each one links to the projects where we actually used it — because a service list without delivered work behind it is just a wish list.

01

Models that hold up in production, not just in a notebook.

We design, train and deploy machine learning systems that carry real operational load. That means data pipelines you can trust, models you can retrain, and monitoring that tells you when reality has drifted away from your training set.

Strategy & feasibility

  • AI opportunity assessment against actual operational cost
  • Feasibility and build-versus-buy review
  • Data readiness audit — volume, labelling, lineage, gaps
  • Success metrics defined before the model is built
  • Proof of value on your own data, not a public dataset
  • Delivery roadmap and team shape

Data engineering

  • Ingestion, cleaning and normalisation pipelines
  • Labelling workflows and annotation tooling
  • Feature engineering and feature stores
  • Synthetic data generation where real data is thin
  • Data quality monitoring and validation
  • Lineage and reproducibility of every training run

Modelling

  • Custom model design, training and tuning
  • Predictive analytics and demand forecasting
  • Recommendation and ranking engines
  • Anomaly and outlier detection
  • Classification, regression and clustering
  • Time-series and survival modelling
  • Fine-tuning of foundation models on your domain

Evaluation & assurance

  • Offline evaluation harnesses and held-out benchmarks
  • Error analysis by segment, not just headline accuracy
  • Bias and fairness testing
  • Explainability for decisions that need to be justified
  • Human-in-the-loop review paths
  • Acceptance criteria agreed before release

Deployment

  • Batch, real-time and streaming inference
  • Model serving, containerisation and autoscaling
  • Edge and on-device deployment
  • Self-hosted and in-region deployment for residency rules
  • Shadow deployment and staged rollout
  • A/B and champion-challenger testing in production

Operate & retrain

  • Drift detection on inputs and predictions
  • Performance monitoring against live outcomes
  • Automated and scheduled retraining
  • Model registry, versioning and rollback
  • Cost and latency optimisation
  • Incident response when a model degrades
02

Giving systems the ability to see, measure and decide.

From pose estimation that scores a golf swing to object detection that counts the contents of a room, we build perception systems that turn raw video into structured, actionable data.

Detection & recognition

  • Object detection, tracking and counting
  • Image and video classification
  • Instance and semantic segmentation
  • Face and person detection
  • Optical character recognition in the wild
  • Scene and activity recognition

Measurement & biomechanics

  • Pose estimation and joint angle measurement
  • Motion sequencing across checkpoint positions
  • Dimensional measurement from imagery
  • Scale detection and calibration
  • Cross-frame deduplication of counted objects
  • Depth and 3D reconstruction

Inspection & quality

  • Defect detection on production lines
  • Surface and weld inspection
  • Completeness and assembly verification
  • Anomaly detection against a golden sample
  • Tolerance checking and pass/fail gating
  • Inspection audit trail with captured evidence

Capture & pipeline

  • Video ingestion, sampling and frame selection
  • Image enhancement, deskew and denoise
  • Annotation workflows and dataset curation
  • Active learning on the frames the model finds hard
  • Synthetic data and augmentation
  • Versioned datasets tied to model runs

Deployment

  • Real-time streaming inference
  • Edge and on-device deployment
  • GPU and accelerator optimisation
  • Model quantisation and pruning for constrained hardware
  • Camera, RTSP and IP feed integration
  • Offline operation with deferred sync

Assurance

  • Accuracy measured per class and per condition
  • Lighting, angle and occlusion robustness testing
  • False-positive cost analysis with the operator
  • Human review of low-confidence detections
  • Drift monitoring as conditions change
  • Privacy-preserving processing and retention limits
03

Turning document-heavy workflows into structured data.

Regulatory filings, feasibility studies, insurance claims, lab results. We build systems that read dense documents, extract what matters, and generate the outputs your process actually needs — with the audit trail to back it up.

Ingestion & capture

  • Scan, photo and native PDF intake
  • Deskew, crop, denoise and contrast enhancement
  • Multi-page and multi-document splitting
  • Handwriting and low-quality source handling
  • Arabic, English and mixed-script documents
  • High-volume batch and API intake

Understanding

  • Document classification and routing
  • Layout analysis — tables, forms, columns, footnotes
  • Key-value and line-item extraction
  • Entity recognition against your own vocabulary
  • Cross-reference resolution between documents
  • Summarisation of dense technical and regulatory content

Structuring & output

  • Extraction into a validated schema
  • Population of downstream forms and sheets
  • Formula application so calculations derive from source
  • Standardised report and study generation
  • Export to ERP, CRM and case management systems
  • Structured output with per-field provenance

Verification

  • Confidence scoring per extracted field
  • Human-in-the-loop review queues
  • Side-by-side source and extraction comparison
  • Validation rules and arithmetic checks
  • Benchmarking against standards and frameworks
  • Full audit trail from output back to the source page

Automation

  • Straight-through processing above a confidence threshold
  • Exception routing to the right reviewer
  • Approval workflows on extracted content
  • Notification and status tracking
  • Scheduled and event-driven processing
  • Reprocessing when a template or rule changes

Deployment & control

  • Self-hosted and in-region processing for residency rules
  • Redaction and PII handling
  • Retention policies and secure deletion
  • Role-based access to documents and extractions
  • Throughput and cost monitoring
  • Accuracy tracking as document formats change
04

Replacing repetitive manual process with intelligent workflow.

Most operational cost sits in work that is repetitive but not quite simple enough for a rules engine. That is exactly where modern AI earns its keep, and where we spend most of our time.

Discovery

  • Task mining across the work people actually do
  • Volume, handling time and error-rate baselining
  • Automation candidate scoring by value against effort
  • Decision points that need judgement mapped explicitly
  • Exception paths documented before build
  • Target operating model after automation

Conversational

  • AI chatbots and virtual assistants
  • WhatsApp, web, Teams and Slack channels
  • Arabic and English conversation handling
  • Context carried across turns and sessions
  • Handover to a human with the context preserved
  • Conversation analytics and intent gap reporting

Process automation

  • Intelligent document-driven automation
  • Approval, routing and reconciliation flows
  • Data entry and system-to-system transfer
  • Scheduled and event-triggered jobs
  • Long-running workflows with durable state
  • Retry, compensation and replay on failure

Agentic systems

  • Multi-step agents with tool use
  • Tool and API calling against your systems
  • Guardrails, allow-lists and spend limits
  • Approval gates before consequential actions
  • Deterministic fallbacks when the model is unsure
  • Full trace of every step an agent took

Integration

  • CRM and ERP AI integration
  • E-commerce and order automation
  • Calendar, EHR and booking system integration
  • Legacy system bridging where no API exists
  • Webhook and event orchestration
  • Idempotency so a retry never double-books

Measurement

  • Hours and cost removed, measured against the baseline
  • Straight-through rate and exception rate
  • Quality sampling of automated decisions
  • Drift monitoring on model-driven steps
  • Alerting when a flow starts failing
  • Continuous improvement backlog
05

Mapping the process, then removing the parts nobody should be doing.

We start by mapping how work actually flows through your organisation — not how the org chart says it does — then automate the handoffs, approvals and reconciliations that quietly consume your team's week.

Process discovery

  • Mapping how work actually flows, not the org chart
  • Handoff, wait-time and rework analysis
  • Shadow spreadsheets and workarounds surfaced
  • Cost-to-serve per process step
  • Bottleneck and constraint identification
  • Target process design agreed with the people doing it

Workflow & approvals

  • Approval chains, sequential or N-of-M voting
  • Delegation, escalation and out-of-office handling
  • SLA timers and automatic escalation
  • Case management for long-running work
  • Business rules externalised from code
  • Versioned processes with an audit trail

System integration

  • System-to-system integration across the estate
  • Legacy bridging where no API exists
  • Master data synchronisation and conflict handling
  • Event-driven integration and message queues
  • Batch and real-time reconciliation
  • Monitoring with replay on failed transfers

Reporting & visibility

  • Operational dashboards for the people who act on them
  • Automated recurring and regulatory reporting
  • Exception and ageing reports
  • Cross-system reporting without a manual export step
  • Scheduled distribution to the right recipients
  • Self-service report building

Governance

  • Role-based access and segregation of duties
  • Full audit log per record, not a feed to scroll
  • Data retention and archiving policy
  • Change control on process definitions
  • Compliance evidence produced as a by-product
  • Access review and recertification

Adoption

  • Pilot on one process before rolling out
  • Key-user training and enablement material
  • Parallel running before cutover
  • Adoption measurement and follow-up
  • Support model after go-live
  • Backlog of the next processes worth automating
06

Agents that book, reschedule, cancel and escalate — on the phone.

Natural-sounding voice agents that handle real transactional calls end to end: appointment booking, rescheduling and cancellation, order status, and qualification, with clean handover to a human the moment the call needs one.

Call handling

  • Appointment booking, rescheduling and cancellation
  • Inbound and outbound call handling
  • Order placement and order-status enquiries
  • Payment reminders and collections calls
  • Qualification and routing
  • Post-service feedback and review collection

Conversation quality

  • Natural turn-taking with barge-in
  • Follow-up questions on what the caller actually said
  • Multilingual speech recognition including Arabic
  • Accent and noisy-line robustness
  • Live sentiment classification and branching
  • Honest escalation when a call needs a human

Systems of record

  • Calendar, CRM and booking system write-through
  • EHR and patient management integration
  • E-commerce and order system integration
  • Telephony and contact-centre platform integration
  • SMS and WhatsApp follow-up in the same flow
  • Idempotent writes so a retry never double-books

Analytics & QA

  • Full transcription of every call
  • Automated QA scoring across the whole corpus
  • Theme and trend analysis, not sampled calls
  • Containment, transfer and abandon reporting
  • Failure-point analysis on dropped conversations
  • Agent-assist summaries for human follow-up

Controls

  • Disclosure that the caller is speaking to an AI
  • Do-not-call and consent handling
  • Call recording consent and retention policy
  • Spend and concurrency limits
  • Out-of-hours and holiday behaviour
  • Fallback to voicemail or callback

Operations

  • Latency tuning so the pause does not feel wrong
  • Concurrency scaling for campaign peaks
  • Number provisioning and routing
  • Monitoring and alerting on call quality
  • A/B testing of scripts and voices
  • Continuous improvement from transcript review
07

SAP, Oracle, Salesforce and Odoo — implemented, integrated and automated.

We implement, migrate and extend enterprise platforms, then automate the processes running on top of them. Whether that is an S/4HANA migration, an Oracle Cloud rollout, a Salesforce build or an Odoo deployment, the objective is the same: one system your operations genuinely run on, rather than a licence nobody uses and six spreadsheets that hold the real truth.

Platforms

  • SAP — S/4HANA, ECC, Business One
  • Oracle — Fusion Cloud, E-Business Suite, NetSuite
  • Salesforce — Sales, Service, CPQ
  • Odoo — implementation and custom modules
  • Microsoft Dynamics 365
  • CRM, POS, CMS and CDP alongside the core

Implementation & rollout

  • Fit-gap analysis against how the business actually runs
  • Greenfield implementation and phased rollout
  • ECC to S/4HANA and on-premise to cloud migration
  • Multi-entity, multi-currency and multi-country rollout
  • Localisation for GCC statutory and tax requirements
  • Cutover planning, dress rehearsal and hypercare

Data migration

  • Legacy extraction, cleansing and de-duplication
  • Master data governance and ownership model
  • Mapping, transformation and load automation
  • Reconciliation and sign-off against source balances
  • Historical data archiving strategy
  • Repeatable trial loads before the real one

Extension & integration

  • Custom modules and extensions on the platform
  • API, middleware and iPaaS integration
  • Third-party and legacy system bridging
  • Banking, payment and government portal integration
  • Event-driven integration and webhook orchestration
  • Integration monitoring with replay on failure

Automation & intelligence

  • Approval, routing and reconciliation automation
  • Document-driven automation into the ERP
  • AI-driven reporting and forecasting
  • Anomaly detection across transactions
  • Operational dashboards for the people who act on them
  • Conversational access to ERP data

Managed support

  • Application managed services and SLAs
  • Release, patch and upgrade management
  • Performance tuning and cost optimisation
  • Licence and subscription review
  • Key-user training and enablement
  • Continuous improvement backlog
08

Managed security services, advisory and offensive testing.

As a Managed Security Services Provider we operate as an extension of your team — 24×7 monitoring, virtual CISO, penetration testing and compliance readiness. We build and audit to ISO 27001 and take clients through certification readiness, with a team holding CISSP, CISA, CISM, OSCP and CEH.

Advisory & risk

  • Enterprise security maturity (industry benchmark, roadmap)
  • Cyber-security assessment (ISO, NESA, PCI, ISR)
  • Unified compliance framework (ISO, NESA, PCI, DP, RM, ISR)
  • IT risk assessment
  • IT GRC consultancy
  • Enterprise security audit
  • Compromise assessment
  • Continuous adaptive risk & trust assessment
  • GRC automation (policy, risk, sec ops, ERM, ITGRC, audit, incident management)
  • Virtual CISO

Technology domain

  • Data protection & privacy (DLP, IRM, DAM, DFA, DLRA)
  • Identity & access management (access governance, PAM, SSO, IDAM)
  • Intelligent security operations (SIEM, UEBA, threat intel)
  • Cloud infrastructure & endpoint security (micro-segmentation, CASB, EDR)
  • AppSec, mobile security & VAPT (WAF, app code review, VM, MDM)
  • Cloud infrastructure audit & optimisation

Managed security services

  • Managed SIEM / UEBA / MDR, 24×7 onsite, remote or hybrid
  • Security technology operations (IDAM, DLP, DAM, SIEM)
  • Vulnerability management (remediation, VM metrics & SLAs, VM intel, workflow)
  • Advanced security operations (user behaviour analytics, anomaly detection, threat hunting, deception)
  • Threat intelligence & incident response

Offensive security testing

  • Red teaming & blue teaming
  • Web, mobile & API security testing
  • IoT & infrastructure security testing
  • Wireless penetration testing
  • Social engineering testing
  • Security code review & secure SDLC (CI/CD)

Digital forensics & incident response

  • Forensically sound acquisition & chain of custody
  • Disk, memory & mobile device forensics
  • Log correlation & timeline reconstruction
  • Malware and artefact analysis
  • Estate-wide indicator sweeps & scoping
  • Root cause analysis and remediation roadmap
  • Expert reporting for legal, regulatory and HR proceedings

Compliance

  • Gap analysis against international standards
  • ISO 27001, PCI DSS, GDPR
  • SOC 1 / SOC 2
  • ISO 22301 business continuity & disaster recovery
  • NIST Cybersecurity Framework
  • COBIT 2019

Security education & awareness

  • C-level executive programmes
  • Cybersecurity awareness programmes
  • Security awareness & anti-phishing
  • GDPR training

AI Cyber-Assessment Platform

An AI-powered platform that automates cybersecurity assessment — identifying structural vulnerabilities, evaluating security posture and turning complex audit workflows into a data-driven remediation roadmap.

  • AI-driven gap & risk analysis
  • ISO 27001 & NIST readiness
  • Cloud & network infrastructure audits
  • Security posture & maturity benchmarking

Accredited awareness programmes

We build the platform and produce the teaching content for cybersecurity awareness programmes that carry third-party accreditation. On the Digital Safety Certificate we delivered the learning platform, the AI proctoring and all seventy-four animated lectures across seven progressive levels, in English and Arabic.

  • Platform, proctoring and full curriculum delivered end to end
  • Built for a programme accredited by The CPD Certification Service (UK)
  • Seventy-four lectures, produced in both English and Arabic
  • Seven progressive levels with assessment at each stage
  • For schools, companies and digital literacy initiatives

Cybersecurity Contingency Planning (CCP)

A practical resilience and incident-response programme that builds real contingency frameworks — so an organisation can anticipate incidents, hold business continuity and cut operational downtime.

  • Interactive workshops & threat simulations
  • Analysis of real-world security breaches
  • Hands-on contingency plan development
  • AI-powered risk analysis via the RaiDOT platform
  • Actionable organisational response roadmaps

Team certifications

  • CISSP
  • CISA
  • CISM
  • GIAC
  • OSCP
  • CEH
  • ISO 27001 Lead Auditor
  • GWAPT
  • GCFA
  • GCIH
  • COBIT
  • PRINCE2
  • ITIL v3
  • CCIE
  • CCNA

Technology partners

  • CrowdStrike
  • Mandiant
  • Rapid7
  • Checkmarx
  • Forcepoint
  • CyberArk
  • XM Cyber
  • Recorded Future
  • Digital Shadows
  • Mimecast
  • MobileIron
  • Trend Micro
09

Platforms built to carry real operational weight.

Dashboards, portals, marketplaces and internal tools — engineered for the traffic, the compliance requirements and the integrations they will actually face in production.

Architecture

  • Domain and data modelling before code
  • API design — REST, GraphQL and gRPC
  • Service boundaries and integration surface
  • Multi-tenancy and isolation strategy
  • Event-driven and queue-backed processing
  • Failure modes designed for, not discovered

Build

  • React and Next.js platforms
  • Node.js, NestJS, Python and FastAPI services
  • Real-time systems over WebSockets and SSE
  • Background jobs and scheduled work
  • File and media handling at scale
  • Internationalisation and right-to-left layout

Data & security

  • PostgreSQL, MySQL and MongoDB
  • Row-level security and tenant isolation
  • Authentication, RBAC and SSO
  • Encryption at rest and in transit
  • Audit logging per record
  • Secrets management and key rotation

Quality

  • Automated test suites at unit and integration level
  • End-to-end testing of the paths that matter
  • Load and soak testing before launch
  • Accessibility to WCAG AA
  • Type safety and schema validation end to end
  • Code review and documented standards

Delivery

  • Containerised deployment and infrastructure as code
  • CI/CD with build, typecheck and test on every push
  • Staged rollout and rollback
  • Environment parity from local to production
  • Zero-downtime migrations
  • Cost and performance budgets

Operate

  • Monitoring, tracing and structured logging
  • Alerting that maps to user impact
  • Incident response and post-incident review
  • Performance tuning against real traffic
  • Dependency and security patching
  • Ongoing managed support
10

iOS and Android, native or cross-platform.

From consumer apps serving millions of users to field tools used by a few hundred specialists, we take mobile products through planning, development, release and the long tail of optimisation that follows.

Platforms

  • Native iOS in Swift
  • Native Android in Kotlin
  • React Native for shared codebases
  • Flutter where the design system is bespoke
  • Tablet and large-screen layouts
  • Wearable and companion apps

Product

  • Offline-first architecture and conflict resolution
  • Background sync and deferred upload
  • Push notification strategy and deep linking
  • Camera, media and document capture
  • Location, maps and geofencing
  • Biometric authentication and secure storage

Quality

  • Device and OS version matrix testing
  • Crash reporting and symbolication
  • Performance, battery and memory profiling
  • Accessibility on both platforms
  • Automated UI testing
  • Beta distribution through TestFlight and Play tracks

Release

  • App Store and Play Store submission and review
  • Store listing, screenshots and metadata
  • Phased rollout and staged release
  • Versioning and forced-upgrade handling
  • Release notes and changelog discipline
  • Rollback strategy when a release goes wrong

Growth

  • App store optimisation
  • In-app analytics and funnel instrumentation
  • A/B testing and feature flags
  • In-app purchase and subscription handling
  • Retention and re-engagement mechanics
  • Review and rating prompts done honestly

Operate

  • Backend and API support for the app
  • Certificate, provisioning and key management
  • SDK and dependency upgrades
  • OS migration ahead of each annual release
  • Ongoing feature delivery
  • Managed support and monitoring
11

Design that guides the user somewhere, not just decorates.

We combine interface design with behavioural insight to build sites that move people toward a goal — then implement them with the performance and accessibility standards that keep them ranking and usable.

Research & strategy

  • Audience and goal definition before layout
  • Competitor and category review
  • Information architecture and content model
  • User flows toward a defined action
  • Messaging hierarchy per page
  • Success metrics agreed up front

Design

  • UI and UX design
  • Design systems and component libraries
  • Responsive layout from phone to wide desktop
  • Motion and interaction design
  • Brand application and art direction
  • Prototyping before build

Implementation

  • Semantic, accessible markup
  • Component-driven front-end build
  • CMS integration and editorial workflows
  • Multi-language and right-to-left support
  • Form handling, validation and anti-spam
  • Third-party embeds without the performance cost

Performance

  • Core Web Vitals budgets set and enforced
  • Image, font and asset optimisation
  • Server rendering and caching strategy
  • Bundle analysis and code splitting
  • Real-user monitoring after launch
  • Regression checks in CI

Accessibility

  • WCAG AA as the build standard
  • Keyboard navigation and focus management
  • Screen reader testing
  • Colour contrast verified, not assumed
  • Reduced-motion alternatives
  • Accessibility statement and remediation plan

Search & measurement

  • Technical SEO — metadata, sitemap, structured data
  • Canonical and redirect strategy
  • Analytics and event instrumentation
  • Conversion tracking and goal setup
  • Content guidance for the people who will maintain it
  • Post-launch iteration on real behaviour
12

The technology of tomorrow, shipped today.

Agentic AI systems, retrieval-augmented generation, LLM integration and the emerging interface layer — AR/VR, connected hardware and voice assistants — applied to solar energy, banking, telecom, healthcare, insurance, retail and manufacturing.

Agentic AI

  • Multi-agent systems with defined roles
  • Tool and API calling against real systems
  • Planning, memory and state across steps
  • Guardrails, approval gates and spend limits
  • Evaluation harnesses for agent behaviour
  • Full trace of every action taken

LLM engineering

  • Model selection and benchmarking on your data
  • Retrieval-augmented generation over your corpus
  • Chunking, embedding and vector search strategy
  • Fine-tuning and instruction tuning
  • Prompt engineering and versioning
  • Self-hosted and in-region model serving

Immersive & spatial

  • AR and VR applications
  • 3D visualisation and digital twins
  • Spatial interfaces and interaction design
  • WebXR and headset deployment
  • Training and simulation environments
  • Asset pipelines for real-time rendering

Connected hardware

  • IoT device integration and telemetry
  • Edge inference on constrained hardware
  • Sensor fusion and signal processing
  • Device provisioning and fleet management
  • Over-the-air updates
  • Offline behaviour and store-and-forward

Ambient interfaces

  • Alexa and Google Home skills
  • Voice-first interaction design
  • Wearable and companion experiences
  • Notification and ambient-signal design
  • Multimodal input handling
  • Accessibility as a first-class input path

Applied R&D

  • Feasibility studies with a go/no-go recommendation
  • Prototype to production pathway
  • Technology radar for your sector
  • Benchmarking emerging models and tooling
  • Intellectual property and publication support
  • Honest advice when the technology is not ready
13

Decentralised systems, built to be audited.

Smart contracts, exchanges and wallets delivered with the same engineering discipline as the rest of our work — because on-chain, a bug is permanent and public.

Smart contracts

  • Solidity contract design and development
  • Upgradeable proxy patterns
  • Gas optimisation
  • Access control and role management
  • Formal specification of contract behaviour
  • Deployment scripts and verified source

Protocols & exchange

  • Automated market maker and DEX platforms
  • Cross-chain bridges and DEX aggregators
  • Staking, farming and liquidity rewards
  • Tokenomics modelling and simulation
  • Oracle integration for off-chain data
  • Multi-chain deployment strategy

Applications

  • DApp front ends with wallet connection
  • Custodial and non-custodial wallets
  • NFT marketplaces and minting platforms
  • On-chain identity and credentials
  • Payment rails inside existing products
  • Fiat on-ramp and off-ramp integration

Security

  • Security-first development with threat modelling
  • Internal audit before external audit
  • Reentrancy, overflow and oracle-manipulation review
  • Test coverage including adversarial cases
  • Testnet and mainnet-fork rehearsal
  • Incident and pause procedures

Infrastructure

  • Node operation and RPC reliability
  • Indexing and subgraph development
  • Event monitoring and alerting
  • Key management and multisig operations
  • Transaction retry and nonce handling
  • Cost monitoring across chains

Compliance

  • KYC and AML integration where required
  • Sanctions screening
  • Jurisdictional review before launch
  • Transparent, auditable on-chain records
  • Treasury and governance process
  • Documentation for regulators and exchanges
14

Motion, 3D and film — from the idea to the final cut.

Explainers that make a complex product land in ninety seconds, product renders before the product exists, and the interface loops that carry a launch. We take a piece end to end — concept, storyboard, animation or shoot, and post — so the thing that ships matches the thing that was pitched.

Motion graphics & motion design

  • 2D and 3D animated explainers
  • Kinetic typography
  • UI and UX interaction loops
  • Logo stings, idents and title sequences
  • Infographic and data animation
  • Social cutdowns and aspect-ratio variants

3D illustration & animation

  • Product rendering and turntables
  • Character design and rigging
  • Spatial and environment modelling
  • Materials, texturing and lighting
  • Physics, cloth and particle simulation
  • Photoreal and stylised render pipelines

Concept & pre-production

  • Creative concepting against a brief
  • Scripting and narrative structure
  • Storyboards and animatics
  • Style frames and art direction
  • Shot lists and production planning
  • Voice, casting and music direction

Production

  • Live-action direction and shooting
  • Screen capture and product demo capture
  • Green screen and compositing plates
  • Voice-over recording and direction
  • Arabic and English versions shot together
  • On-set supervision for effects shots

Post-production

  • Editing and pacing
  • Compositing and visual effects
  • Colour grading
  • Sound design and audio mix
  • Subtitling, captions and localisation
  • Delivery in every format and ratio a channel needs

Brand & systems

  • Motion identity and animation guidelines
  • Reusable template and component libraries
  • Asset handover in editable project files
  • Version control across review rounds
  • Rendering and storage pipeline
  • Ongoing content production at cadence
Technology

The stack we build on.

Grouped by what it does, so you can find the part that matters to you — the cloud you already run, the ERP you already licence, the model layer you are trying to adopt.

AI & machine learning

  • PyTorch
  • TensorFlow
  • OpenCV
  • YOLO
  • Hugging Face
  • scikit-learn
  • ONNX
  • Whisper

LLM infrastructure

  • Ollama
  • vLLM
  • LangChain
  • LlamaIndex
  • RAG pipelines
  • Vector databases
  • Fine-tuning
  • Model serving

Cloud AI platforms

  • Amazon Bedrock
  • Amazon SageMaker
  • Google Vertex AI
  • Azure AI Foundry
  • Databricks
  • Sovereign & in-region deployment

MLOps & evaluation

  • MLflow
  • Weights & Biases
  • Ray
  • LangSmith
  • Model registry & versioning
  • Evaluation harnesses
  • Drift monitoring
  • Human-in-the-loop review

Languages

  • Python
  • TypeScript
  • Go
  • Rust
  • Java
  • Kotlin
  • Swift
  • C#
  • PHP
  • Solidity

Front end

  • React
  • Next.js
  • Vue.js
  • Nuxt
  • Svelte
  • Angular
  • React Native
  • Flutter
  • Tailwind CSS

Back end

  • Node.js
  • NestJS
  • FastAPI
  • Django
  • Laravel
  • Spring Boot
  • GraphQL
  • gRPC

Data & streaming

  • PostgreSQL
  • MySQL
  • MongoDB
  • DynamoDB
  • Redis
  • Elasticsearch
  • ClickHouse
  • Kafka

Data platform

  • Snowflake
  • BigQuery
  • dbt
  • Airflow
  • Temporal
  • Data warehousing
  • Master data governance

Cloud & DevOps

  • AWS
  • Azure
  • Google Cloud
  • Docker
  • Kubernetes
  • Terraform
  • GitHub Actions
  • Grafana

Enterprise platforms

  • SAP
  • Oracle
  • Oracle EBS
  • Salesforce
  • Odoo
  • Shopify
  • WooCommerce

Motion, 3D & video

  • After Effects
  • Cinema 4D
  • Blender
  • Premiere Pro
  • DaVinci Resolve
  • Illustrator
  • Figma
  • Audition

Messaging & automation

  • WhatsApp automation
  • WhatsApp Business API
  • Conversational workflows
  • Approval orchestration
  • SMS & push delivery
  • Webhook integration

Security

  • SIEM / UEBA
  • CrowdStrike
  • Rapid7
  • Checkmarx
  • CyberArk
  • Forcepoint