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Artificial Intelligence & Machine Learning

We design and deploy applied AI systems — from computer vision and forecasting to generative-AI copilots and RAG systems — with production-grade MLOps.

Offerings

What we deliver

  • Applied ML (vision, NLP, forecasting)
  • Generative AI & LLM applications
  • RAG, agents and evaluation harnesses
  • MLOps and model governance
  • Responsible-AI and safety reviews

Our approach

How we engineer, end to end

  1. 1

    Problem-first, model-second

  2. 2

    Evaluation-driven development

  3. 3

    Cost, latency and safety guardrails

Outcomes

Outcomes teams have delivered

80% forecasting accuracy on time-series problems

Copilots delivering measurable analyst productivity gains

FAQs

Common questions about Artificial Intelligence & Machine Learning

Do you build with open-source LLMs as well as commercial APIs?

Yes — we deploy on Anthropic, OpenAI, Google, and open-weights models (Llama, Mistral, Qwen) depending on latency, cost, privacy and accuracy needs.

Related work

Recent case studies

Hi-Tech

SaaS platform modernization for a global ISV

Rearchitected a monolithic product to a cloud-native, multi-tenant SaaS platform on Kubernetes — with a phased strangler-fig migration and full CI/CD.

Outcome: 45% faster release cadence and 35% cloud-cost reduction post-migration.

Healthcare & Life Sciences

Clinical research copilot for a life-sciences leader

RAG-based assistant grounded in curated clinical and research knowledge, with evaluation harnesses and role-based governance for regulated use.

Outcome: Research analysts reporting significant productivity gains on literature review.

Talk to a Artificial expert

Book a 30-minute discovery call — we'll help scope the shortest path from where you are to production.

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