What we build
One execution layer, many connected capabilities
From retrieval over messy documents to computer vision intake, AI-assisted commerce, technical lab signal workflows, and the backend underneath — each capability is part of the same production-grade system, not a separate service line.
Enterprise RAG & Hybrid Search
Retrieval systems that work on messy enterprise data: PDFs, contracts, tenders, policies, emails, reports, tables, and internal knowledge bases. Vector search, keyword search, reranking, metadata filtering, and source citations combine to produce grounded answers.
- Hybrid search — BM25 + vector search with Reciprocal Rank Fusion
- Cross-encoder reranking and metadata filtering
- Source-grounded answers with inline citations
- Multi-source indexing and permission-aware retrieval
Document Intelligence & Structured Extraction
Pipelines that parse complex documents and convert them into reliable structured data: PDF tables, scanned documents, legal judgments, procurement notices, invoices, forms, and operational reports.
- PDF parsing, OCR workflows, and table extraction
- Markdown conversion and JSON extraction with schemas
- Validation rules and confidence scoring
- Human review loops for high-value or uncertain cases
Deterministic AI Workflow Orchestration
Controlled AI workflows instead of uncontrolled autonomous agents. Each workflow follows defined states, business rules, approval steps, and audit logs.
- LangGraph-style state machines and conditional routing
- Tool execution with structured contracts
- Workflow state persistence and webhook-based approvals
- Human-in-the-loop approvals and escalation paths
Production Voice AI & Call Automation
Sub-300ms latency conversational voice systems wired securely into enterprise backend systems with strict human-in-the-loop escalation.
- Low-Latency Native Audio Streams: Direct integration with native speech-to-speech models and optimized WebSockets/streaming infrastructure (Vapi, LiveKit, ElevenLabs) to match natural human conversation pacing.
- Context-Aware Voice RAG: Specialized, ultra-fast vector search caching and semantic routing to fetch enterprise knowledge, compliance boundaries, and user records in milliseconds mid-call.
- Deterministic Voice Guardrails & Escapes: Real-time validation layers that monitor audio outputs, prevent hallucinated commitments, and execute seamless state handoffs (transferring live audio + full transcripts) to human operators when edge cases or anomalies are detected.
- Full System Tool Execution: Safe function-calling architectures enabling voice agents to reliably trigger webhooks, query databases, and update CRMs/ERPs mid-conversation without breaking system state.
AI Backend Engineering
The backend infrastructure required to run AI systems in production: APIs, databases, queues, storage, authentication, monitoring, cost controls, and integrations.
- FastAPI services, PostgreSQL, Qdrant / pgvector, Redis
- Background jobs, queues, and async workers
- Docker-based deployment with secure configuration
- Observability, cost controls, and API integrations
Evaluation, Guardrails & Auditability
Measure and control AI behavior before deploying it into real business operations. Evaluation pipelines, regression tests, guardrails, audit logs, and quality dashboards.
- RAG evaluation — faithfulness, context recall, answer relevance
- Hallucination checks and prompt injection controls
- Sensitive data protection and PII handling
- Audit trails and operator dashboards
Legacy System AI Modernization
Add AI capabilities around existing systems without risky big-bang replacement. API layers, shadow systems, comparison engines, and workflow overlays for gradual modernization.
- Strangler pattern with modern API layers
- Shadow architecture and comparison engines
- Read-only adapters and data synchronization
- Phased migration support with audit logs
Computer Vision Workflow Systems
We build practical computer vision workflows where images become structured operational inputs — for example, guided measurement, visual recommendation, review queues, and quotation workflows.
- Photo intake with calibration references (e.g. A4)
- Homography, guided corner selection, and admin review
- Visual previews and image-based recommendations
- Review queues that combine CV with operator confirmation
AI-Assisted Commerce & Personalization
We help commerce workflows use AI for personalization, guided product selection, customer intake, content generation, and operational automation.
- Photo and preference-based customer intake
- Personalized product guidance and shortlists
- Checkout, logistics, and IOSS/VAT handling
- Customer support and operational automation workflows
Technical Lab & AI-Ready Signal Workflows
We support technical lab concepts where RF, SDR, signal data, dashboards, and AI-ready analysis workflows can be combined for training, research, and operator support.
- RF/SDR training infrastructure and hands-on workflows
- Spectrum capture, labelling, and event datasets
- AI-assisted classification and anomaly detection
- Operator-assistance dashboards over lab signals
Custom Integrations
We connect AI systems and backends to the tools real teams use — CRMs, ERPs, email, WhatsApp, partner portals, internal databases — through clean, documented contracts.
- CRM and ERP integrations with typed contracts
- Email, WhatsApp, and partner portal connectors
- Database adapters and event-driven workflows
- Authentication, retries, audit logs, and observability