
Trusted by Fortune 500 teams and category-defining startups.



Whatyouget
Production-ready AI — not demos. Systems with evals, observability, and safety built in from the start.
LLM Apps & RAG
Retrieval-augmented generation, knowledge bases, and chat interfaces grounded in your data — not generic model output.
Fine-tuning & Prompt Ops
Model selection, prompt engineering, and fine-tuning pipelines tuned for your domain and cost constraints.
Model Evals & Guardrails
Automated eval suites, red-teaming, and guardrails that catch hallucinations and unsafe outputs before users do.
Vision, NLP & Speech
Multimodal pipelines — document parsing, image classification, transcription, and speech synthesis where they add real value.
Observability & Monitoring
Logging, tracing, cost tracking, and drift detection so you know what your models are doing in production.
AI Strategy & Architecture
Honest assessment of where AI helps vs. where traditional software is faster, cheaper, and more reliable.
Howwework
A focused 4-phase build. Most LLM apps reach production in 8–14 weeks.
Prototype
Problem framing, data audit, and a working proof-of-concept in 2–3 weeks so you can validate before committing.
Eval
Benchmark datasets, automated evals, and human review loops that define what "good" looks like for your use case.
Harden
Guardrails, fallback logic, rate limiting, and cost controls — production infrastructure, not a Jupyter notebook.
Deploy
CI/CD, monitoring dashboards, and runbooks — plus optional retainer for model updates and feature iteration.
Selectedwork
Projects we've shipped across AI Development. Real outcomes, real users.
See all case studiesBuiltwith
Best-in-class ML and LLM tooling — model-agnostic, so you're never locked to one vendor.
- OpenAI
- TensorFlow
- PyTorch
- scikit-learn
- Keras
- Hugging Face
Frequentlyasked
Common questions before kicking off a project. Don't see yours? Ask the team.
Proof-of-concepts land in 2–4 weeks. Production LLM apps with evals and guardrails run 8–14 weeks. Complex multimodal or fine-tuning projects can run 14–20 weeks.



