What we build, and what we will tell you not to

AI agent development & multi-agent orchestration

AI agent development is building systems that take actions rather than just answering. An agent routes a request, calls your tools and APIs, remembers context across turns, and escalates what it should not decide alone. Production agents need idempotency, authorisation and audit trails.

Custom RAG development services

RAG development is building retrieval-augmented generation: a system that searches your own content for passages relevant to a question, then composes an answer grounded in those passages with sources attached. The engineering is mostly retrieval quality, not the language model.

Intelligent document processing & document AI services

OCR is character recognition: it turns pixels into text. Document intelligence adds classification, structure recovery, field extraction and validation on top, answering what a document is and which values it contains. Most projects described as OCR are document intelligence projects.

AI chatbot development: domain-grounded assistants

A domain-grounded chatbot answers from your own documentation and policies rather than the model's general knowledge. It retrieves relevant content before responding, attaches sources, and says it does not know when nothing relevant is found, instead of producing a fluent guess.

AI business process automation services

AI workflow automation replaces a manual multi-step loop, typically intake, verification, routing and sign-off, with a system that completes the routine cases end to end and escalates exceptions with context attached. The value is in handling the whole loop, not one step of it.

Speech-to-text & audio AI development

Speech-to-text development covers transcribing audio and, more importantly, what happens next: separating speakers, extracting the structured facts that matter, and routing them somewhere useful. Transcription is close to a commodity; the extraction layer is where the value is.

AI medical scribe development

AI medical scribe development is building an ambient clinical documentation system that turns a clinical encounter into completed paperwork. It transcribes the consultation, separates speakers, extracts clinical facts as structured data, and populates the specific forms a chart requires, with every field confidence-scored for clinician review before anything is written.

• Deepgram Nova-2
• LangGraph
• GPT-4o
• FastAPI
• PostgreSQL

KYC and KYB automation development

KYC automation is replacing manual identity checks with a pipeline that classifies an identity document, extracts and validates its fields, matches the portrait against a submitted selfie, and escalates only the cases it is unsure about. Done well it removes roughly 90% of a manual review queue.

• PaddleOCR
• DeepFace
• YOLOv8n
• OpenCV
• FastAPI