Senior AI engineers, shipping AI you can trust in production.
We design and ship production-grade AI, custom LLMs, agentic workflows, RAG pipelines and predictive ML, with evaluation, guardrails and observability your team can run for years.
- LLMs & agentic AI
- RAG & vector search
- AI-augmented delivery
From a single LLM feature to full AI products.
Custom LLM features
Chat, summarisation and smart search wired into your product with the right model for each task.
Agentic AI & copilots
Multi-step agents that call your tools and APIs to complete real work, not just answer questions.
RAG pipelines
Retrieval-augmented systems grounded in your data, with chunking, embeddings and citations.
Predictive ML
Forecasting, scoring and recommendation models trained and validated on your historical data.
MLOps & serving
Model deployment, monitoring, evaluation and cost controls so AI stays reliable in production.
Document & NLP automation
Extraction, classification and routing that turn unstructured documents into structured workflows.
Senior AI talent
A real edge, when it's engineered properly.
Automate the expensive work
Offload research, support and document handling so your team focuses on higher-value tasks.
Grounded, not guessing
RAG and evaluation keep answers tied to your data, with measurable accuracy instead of vibes.
Model-agnostic by design
Swap between OpenAI, Anthropic and open models as price and capability shift, no lock-in.
We're fluent across the modern AI stack.
Building with AI, answered.
How fast can an AI engineer start?
Individual hires onboard in 5–7 days; a dedicated AI team is typically running within 2–4 weeks.
How do you stop the model from hallucinating?
We ground responses with RAG over your data, add evaluation suites and guardrails, and monitor accuracy continuously in production.
Are we locked into one AI provider?
No. We build model-agnostic, so you can move between OpenAI, Anthropic and open-source models as cost and capability change.
Can you add AI to our existing product?
Yes. We start with a data and use-case review, then ship a focused AI feature with evaluation before scaling it across the product.
Industries we build AI for.
Ship a production AI feature this quarter.
Tell us your data and goals, we'll match vetted AI engineers ready to build, evaluate and deploy.