AI & Machine Learning Systems
Autonomous LLM agents, RAG pipelines, and automated decision systems connected directly to your existing operational databases and APIs.
- Custom LLM workflows
- RAG pipelines
- Automated agents
Overview
AI Development services
Transform your operational efficiency with production-ready AI. We engineer custom LLM workflows, RAG pipelines, and agentic systems designed for operational reliability. Moving beyond prototypes, we build copilots that integrate into your existing data ecosystem to support complex decisions with source grounding, validation and human review.
What we bring
Key capabilities
- 01
Retrieval-Augmented Generation
Connect LLMs directly to your proprietary data for highly accurate, context-aware responses.
- 02
Agentic Workflows
Multi-agent systems capable of breaking down complex tasks, reasoning, and executing multi-step operations.
- 03
Guardrails & Safety
Strict validation layers and hallucination mitigation techniques for enterprise-grade reliability.
How we deliver
Our method
01
Data Readiness
Auditing, cleaning, and vectorizing your proprietary data for machine learning ingestion.
02
Model Orchestration
Building complex RAG pipelines and tuning multi-agent systems for precise responses.
03
Production Hardening
Implementing semantic guardrails, rate limiting, and observability for enterprise deployment.
Stack
- Python
- PyTorch
- LangChain
- OpenAI APIs
- Pinecone
- HuggingFace
- FastAPI
Common questions
What clients ask about AI development before the first call.
Work built with this
AI Development we have shipped
Document AI
Six scanned documents in, one payroll row out. Employee paperwork parsed by AI, cross-checked, and mapped directly into the client's payroll template with complete source traceability.
- Page-level extraction
- Cross-validation
- Traceable to source
Output: 54 columns per person, in the client's own template
Ampere
A RAG customer support copilot answering strictly from verified documentation, with seamless escalation to human agents carrying the full conversation transcript and account context.
- Embeddable widget
- Auto-escalation
- Live agent dashboard
Widget: Next.js, React, Socket.IO client
Imagen
Ten-plus AI media workflows, image, video, prompt, caption, transcript, conversion and document generation, unified behind a Python backend with agent-style orchestration and real-time updates.
- 10+ workflows
- Non-blocking jobs
- Real-time updates
Backend: Python, modular routing, async processing
TerraScope AI
From zoning PDFs to concept, cost, and feasibility reports, powered by document intelligence with verifiable sources, multi-option concept generation, and deterministic costing.
- Document intelligence
- Scored concepts
- Deterministic costing
Frontend: Next.js, TypeScript
Ready when you are
Tell us what you need built.
Describe the workflow and where it breaks today. We will come back with scope, approach and the parts we think are hard.