AI-Enabled Development
From LLM applications and autonomous agents to RAG pipelines, computer vision and fine-tuning — we engineer AI-native products that ship to production, not just demo decks. MLOps, evals and observability built in from day one.
Six capabilities that cover the full AI stack
From prompt to production. Each capability is staffed by engineers who've shipped real AI systems — not just notebooks.
LLM Applications & Chatbots
Production chat assistants, copilots and conversational products powered by GPT-4o, Claude 3.5 and Llama 3 — with streaming, guardrails, function-calling and evals baked in.
Retrieval-Augmented Generation (RAG)
Hybrid search pipelines over Pinecone, Weaviate or Qdrant with re-ranking, citations and chunking tuned to your data — so answers stay grounded and verifiable.
Autonomous AI Agents
Multi-step agents that plan, call tools and collaborate — built on LangChain, LlamaIndex or a custom orchestration layer with strong observability and safety rails.
Computer Vision & OCR
Object detection, segmentation, face recognition and document OCR pipelines on PyTorch and TensorFlow — deployed at the edge or in the cloud, in real time.
Fine-tuning & Model Adaptation
LoRA, QLoRA and full fine-tuning of open-weight models on Hugging Face, plus distillation and prompt-tuning — to squeeze accuracy out of smaller, cheaper models.
MLOps & Deployment
Reproducible training, model registries, canary rollouts, vLLM/Ollama serving, GPU autoscaling and continuous evals — so your AI keeps getting better in production.
Battle-tested across every major model & tool
We're model-agnostic. We benchmark, pick the right tool for the job, and stay current as the landscape shifts weekly.
Four phases, zero hallucination
AI projects fail when teams skip evals. We start with metrics, build with guardrails, and ship with monitoring — so the system keeps getting better after launch.
Problem framing
We translate your business problem into a measurable AI task — success metrics, eval sets, guardrails and a build-vs-buy decision before a single line of code.
Data & evals
We assemble training data, build retrieval indexes, define golden-set evals and set up automated scoring — so iteration is grounded in numbers, not vibes.
Build & iterate
Rapid prototyping on foundation models with prompt engineering, fine-tuning and tool-use — evaluated weekly against your metrics with you in the loop.
Deploy & monitor
We deploy to your cloud or ours with GPU autoscaling, latency budgets, drift monitoring and human-in-the-loop fallbacks — then keep tuning post-launch.
Where AI earns its keep — fast
Four patterns we've shipped repeatedly across India and the USA. Each one delivers measurable ROI within the first quarter.
Customer support automation
RAG-grounded support agents that resolve tickets end-to-end, hand off cleanly to humans, and cut first-response time by 60–80%.
Document intelligence
OCR + LLM pipelines that extract, classify and summarize invoices, contracts and forms — straight into your workflow or ERP.
Sales & marketing copilots
Account-research agents, draft generators and ad-creative copilots that help reps and marketers ship 5x more, on-brand.
Internal knowledge assistants
Slack/Teams assistants grounded in your wiki, tickets and docs — so every employee gets instant, cited answers from company knowledge.
The questions everyone asks
Straight answers on privacy, timelines, cost, model choice and hosting. Don't see yours? Just ask us directly.
Tell us what you want to automate, build or scale
Whether you have a fully-spec'd product or just a hunch that AI could help, we'll pressure-test the idea and tell you honestly what's worth building.
Ready to ship AI that actually works in production?
Book a free 30-minute scoping call. We'll map your use case to the right model, architecture and budget — and tell you honestly if AI is even the right tool for the job.