/ Building Beyond.
Intelliots builds production-grade agentic AI and custom platforms for organizations operating under real constraints — regulatory, institutional, and operational. Systems that ship, and hold up under scrutiny.
01 What we do
Technology delivery for programs that can't afford to fail — agentic AI with a human in the loop, data infrastructure and decision-support tools for institutions, and bespoke platforms for businesses scaling past their first architecture.
02 Services
03 Architecture
A consistent five-layer model underneath every engagement. It is what makes systems auditable after handover, not just functional at demo.
/01
Data & Ingestion
Event streaming·REST and GraphQL APIs·ETL/ELT pipelines·Real-time WebSocket feeds·Multi-source connectors
/02
AI Intelligence
Agentic orchestration·Large language models·ML models·RAG pipelines·Vector stores·Explainability
/03
Human-in-the-Loop
Review queues·Confidence thresholds·Override controls·Audit trails·Feedback loops into retraining
/04
Application
Web and mobile clients·Micro-frontend portals·Real-time interfaces·Progressive web apps
/05
Security & Compliance
DevSecOps·IAM and role-based access·Encryption at rest and in transit·Consent management·Regulatory controls
Every layer communicates. Every layer is observable. Every layer is independently scalable.
04 Human-in-the-loop
Agentic AI plans multi-step tasks, uses tools, and operates on its own — inside limits you define. Before any high-stakes action executes, a person reviews, overrides, or approves it.
Agents act freely on low-risk tasks. High-stakes decisions always route to a human reviewer before execution.
Every model output carries a confidence score. Below threshold means automatic escalation. No silent failures.
Every human correction is logged and fed back into the model. The system improves with each override.
05 Selected work
Engagements are described by type and technical substance. Client names are withheld by default — we treat that discretion as part of the service.
/0.1
React Native · Django · Applied AI
Accelerometer-driven games, voice recognition, and personalised learning paths, built accessibility-first for learners with specific needs. Child-safe data architecture throughout.
Live in production
/0.2
WebSockets · Video · Real-time interaction
Live clinician-to-child diagnostic sessions for specific learning disabilities, combining socket-based interactive assessment activities with integrated video calling.
Clinician-reviewed · Regulatory-aware
/0.3
Micro-frontend · React · Redux
Parent, teacher, administrator, and content-management portals under a micro-frontend architecture, so each portal deploys independently without coordinating releases.
Built for concurrent scale
06 Industries
Adaptive learning, AI tutoring, and real-time assessment on child-safe data architecture.
Clinical decision support and patient-journey systems for sensitive records.
Citizen services, infrastructure monitoring, and open data. Transparency first, human review mandatory.
Risk scoring, fraud detection, and regulatory reporting with explainable models and audit trails.
Process automation, agentic workflows, knowledge retrieval, and legacy system integration.
Rail automation, road programme monitoring, and active-mobility platforms — the systems that move people and the infrastructure that carries them.
07 Delivery philosophy
We scope carefully, architect deliberately, and deliver inside the constraints our clients actually operate under — regulatory, institutional, and operational. That discipline is the product.