Data Science that ships intelligent products
We build production-grade AI — from Generative AI assistants and Retrieval-Augmented Generation, to computer vision, forecasting and autonomous agents. Powered by LLMs (GPT-4, Claude, Llama), vector databases and a hardened MLOps stack.
What we build
From rapid GenAI prototypes to enterprise-grade ML platforms — we cover the full stack of modern AI.
Production deployments of GPT-4, Claude, Llama and Mistral — fine-tuning, RLHF, distillation and on-prem hosting.
Enterprise RAG with LangChain, LlamaIndex and Haystack — chunking, hybrid search, reranking and grounded answers.
Multi-agent workflows with tool use, planning and memory — built on LangGraph, CrewAI and AutoGen with full observability.
YOLOv8, SAM, CLIP and diffusion models for detection, segmentation, OCR and generative imagery at production scale.
Classical and deep learning for churn, demand, pricing and anomaly detection — XGBoost, LightGBM, Prophet, Temporal Fusion.
MLflow, Kubeflow, Weights & Biases, BentoML — with bias monitoring, drift detection, evals and red-teaming built in.
Our AI delivery lifecycle
A repeatable playbook for going from idea to a measurable AI product — with evals, guardrails and observability at every step.
Use-case framing, ROI modeling, data audit and feasibility prototypes with rapid LLM prototypes.
Data curation, labeling (Label Studio, Snorkel), embeddings, feature stores and synthetic data generation.
Modeling, fine-tuning (LoRA/QLoRA), prompt engineering, evals on Ragas, TruLens and custom benchmarks.
Containerized inference on GPUs/TPUs with vLLM, TGI and Triton — scaled on Kubernetes, served via Bedrock or Vertex.
Live tracing with LangSmith, Arize and Helicone — guardrails, drift, hallucination and cost dashboards.
From foundation models to fine-tuned domain experts
We help you decide between prompt engineering, RAG, fine-tuning and full pretraining — choosing the lightest approach that meets accuracy, latency, cost and compliance targets. With evaluation suites built on Ragas, TruLens and bespoke benchmarks, we keep your AI honest in production.
Our AI stack
Best-in-class open and managed tools — chosen for your latency, cost, privacy and accuracy budgets.
Use cases we power
Chat over private documents, codebases and tickets — with citations, role-based access and audit trails.
Defect detection on production lines using fine-tuned vision transformers running at the edge.
Clause extraction, redlining and risk scoring with LLM ensembles and human-in-the-loop review.
Probabilistic forecasts at SKU granularity with Temporal Fusion Transformers and Prophet.
Multi-agent systems that triage tickets, draft responses and take actions on internal systems safely.
Two-tower and LLM-based recommenders with real-time embeddings, retrieval and reranking.
Have an AI idea? Let's build it.
From a 2-week GenAI proof-of-value to a full enterprise rollout — our AI team can help you ship intelligent products with confidence.