Strategy & advisory
We help you tell the AI projects worth funding from the ones that only demo well. You leave with a short list, real cost estimates, and a plan your finance team can sign off on.
Generative AI consultancy & product studio
Strategy, accelerators, and senior engineers in one team. We help you pick the use cases worth funding, build them on AWS, GCP, or Azure, and ship the Claude plugins and agents your people will actually use.
What we do
Most clients come to us with one project and a deadline. We can advise, build, or staff up, and we're glad to do all three.
We help you tell the AI projects worth funding from the ones that only demo well. You leave with a short list, real cost estimates, and a plan your finance team can sign off on.
Reusable building blocks for the parts every AI system needs: retrieval, agents, evaluation, and safety. Your engineers start with working code instead of an empty repo.
Most popularClaude is what we know best. We build the plugins, MCP servers, and agents that slot into the tools your teams already keep open all day.
We're certified on AWS, GCP, and Azure, and we build on the one you already run. Security and cost are part of the design, not something bolted on later.
Short on people? We put senior GenAI engineers and architects on your team for as long as you need them. They've done this before, so there's no ramp-up.
Have an AI product in mind? We build it with you, from the first rough prototype to something your customers pay for.
GenAI accelerators
Every AI system needs the same plumbing. We've already built ours and run it in production, so your team can skip the repetitive parts and spend their time on the work only they can do.
from vaelix import Atlas, Forge, Sentinel
# A grounded, governed agent in a dozen lines
rag = Atlas(
source="s3://acme-knowledge",
embeddings="bedrock",
rerank=True,
)
agent = Forge(
model="claude",
tools=[rag, billing_api],
guardrails=Sentinel.enterprise(),
)
agent.run("Resolve ticket #4821")
# grounded, governed, and logged
Where we go deep
The model is the easy part. The value is in the platform around it: secured, governed, and tuned to the stack you already run.
We've built plugins, MCP servers, and agent workflows on Claude since the early days. We know where it shines, where it needs guardrails, and how to make it reliable enough to put in front of your customers.
Bedrock, SageMaker, and serverless AI, built the well-architected way.
Vertex AI, Gemini, and data pipelines built to scale.
Azure AI Foundry and OpenAI Service, wired cleanly into your Microsoft stack.
Strategy, data, models, apps, and MLOps. You don't need five vendors.
Talk to our architectsProduct studio
Client work keeps us sharp, but we also ship our own generative AI products. It's how we stay close to what's genuinely hard and what's genuinely possible right now.
If you're building something new, bring us in as a co-builder. You get a team that has already shipped at the edge, not one learning on your budget.
Software that plans, acts, and checks its own work across your systems.
Assistants tuned to one domain, with the citations and controls to earn trust.
One place to ask questions across all your scattered company data.
How we work
A few working sessions to pick the use cases that matter, agree on what success looks like, and sketch an architecture that fits your cloud.
We bring in our accelerators, build the pilot, and prove it against the numbers we agreed on. You get a working system, not a deck.
We harden it, add the governance, and roll it out. Then we hand it to your team, or stay on and help you staff the next phase.
Book 30 minutes with the people who'll do the work. We'll talk through your highest-value use case and the fastest honest path to production. No slideware.
Book a consultationGet in touch
Strategy, an accelerator, Claude help, or an extra squad of senior engineers. Whatever it is, we'll get back to you within one business day.