Autonomous Agents
Multi‑step systems that plan, call tools, and verify their own output.
- Stack
- Claude · LangGraph
- Tool calls
- Sub‑200ms
- Task success
- 94.7%
- Uptime
- 99.97%
Conversational AI
Grounded multi‑turn assistants — trained on your data, evaluated on your metrics.
- Stack
- GPT‑4 · Claude
- P95 latency
- <150ms
- Intent
- 96.2%
- Volume
- 50K/day
Predictive ML
Forecasting, anomaly detection, and recommendation engines on your data.
- Stack
- PyTorch · XGBoost
- MAE reduction
- 42%
- ROI lift
- 2.3×
- Scale
- 1M/day
RAG & Knowledge
Retrieval‑augmented answers with citations and bounded hallucination.
- Stack
- pgvector · Pinecone
- Recall@10
- 97.1%
- Hallucination
- <1.2%
- Citations
- Every answer
Computer Vision
Detection, OCR, and classification — cloud or on‑device, your call.
- Stack
- PyTorch · YOLOv8
- mAP@50
- 91.8%
- Throughput
- 60+ FPS
- Edge
- ONNX · CoreML
Evaluation Suites
Benchmarks, drift monitoring, and CI/CD checks for every model you ship.
- Coverage
- End‑to‑end
- CI/CD
- GitHub · GitLab
- Drift
- Auto‑alerted
- Reports
- Weekly
MLOps & Infra
Deploy, scale, observe — multi‑cloud, IaC‑managed, with cost guardrails.
- Cloud
- AWS · GCP · Azure
- Orchestration
- K8s · Ray
- Telemetry
- OTel · Datadog
- IaC
- Terraform
Custom Builds
Bespoke architectures, fine‑tunes, and proprietary pipelines when off‑the‑shelf isn't enough.
- Scope
- Workshopped
- Timeline
- 6–12 wk
- CSAT
- 95%+
- Support
- 30‑day handover
Selected case studies.
Each system below is live in production and serving real users. Names and exact metrics shared under mutual NDA — the high‑level numbers below are approved for public reference.
Wellbeing Wizard
Personalized learning AI · EdTech
- Users
- 120K active
- Engagement
- +38%
- Stack
- Next.js · TF
- Status
- Live · v3
Public Affairs Intelligence Platform
Multi‑region monitoring & AI reporting · GovTech
- Docs indexed
- 2.4M
- Query latency
- 340ms
- Stack
- Django · AWS
- Status
- Live · v2
Healthcare Systems of Patient Flow
Device integration & adherence monitoring · Healthcare
- Event delivery
- Real‑time
- Integration
- Webhooks · IoT
- Architecture
- Vendor‑agnostic
- Status
- Live
Hoopoe
Arabic‑first social reading network · Books & Community
- AI reader personas
- 100
- API endpoints
- 140+
- Apps
- Web + Native
- Stack
- React · RN · Node
iSMS · Report Hub
AI report builder & approval routing · Education
- Field types
- 30
- AI subsystems
- 4
- Approval modes
- 3
- Languages
- 2
Three ways
to work together.
Discovery sprint (2 weeks) — for teams validating scope before commitment. Fixed price, working prototype, scoped follow‑on plan.
Fixed‑scope build (6–12 weeks) — production system shipped, instrumented, documented. Weekly demos, weekly invoices. No surprises.
Retained pod (ongoing) — embedded R&D capacity. 1–3 days/week of senior AI engineering for evaluation, fine‑tuning, and incident response.