AI Agents · Private LLMs · Consulting

AI agents, built for you. Private. Secure. Enterprise ready.

We design and deploy custom AI agents tailored to your workflows, running on private LLMs when your data demands it. Or we consult if your team prefers to build in-house.

Start Your Project → How It Works

$0 Upfront Cost

Private By Default

7–14 Days to Launch

Process

Three steps from idea to production agent

Step 01 · Scope

Define the agent

Share the workflow, the data sources, and your privacy requirements. We map it to a concrete agent design: shared, private, or hybrid. No jargon, no guesswork.

Step 02 · Build

We build it. No charge.

Architecture, prompts, tool integrations, retrieval, evals: all handled by our team. Choose a shared LLM or a fully private one. The entire build is on us.

Step 03 · Run

Pay only for what it uses

Monthly usage-based billing with real-time dashboards and spend caps. Transparent pricing, no surprises.

Deliverables

What we actually do

Custom AI Agents

Autonomous agents that reason, plan, and act, connected to your tools, data, and APIs for real multi-step work.

Private LLM Deployment

A dedicated, single-tenant deployment of the model you choose: open-weights (Llama, Mistral, Qwen) or closed-source via private endpoint (Claude, GPT-4, Gemini). Provisioned just for you. Never shared, never a public API.

AI Agent Consulting

Architecture reviews, model selection, evals, and hands-on guidance for teams building agents in-house.

RAG & Knowledge Bases

Agents grounded in your docs, databases, and APIs. Vector stores, retrieval, re-ranking, and evals included.

Managed Infrastructure

Hosting, scaling, and observability on our cloud, or we help your team operate agents inside your own cloud account.

Evals & Monitoring

Agent behavior tracking, cost dashboards, and regression tests. See exactly what your agents are doing, and why.

Pricing

Usage-based. No surprises.

Managed Agent

upfront build cost, always

1 custom AI agent, fully built
Shared LLM (Claude, GPT-4, Gemini) included
Hosted on our managed cloud
Usage dashboard + spend caps
Evals, bug fixes, and minor updates
Ongoing prompt + model tuning

Get Started →

Common questions

What's actually free?

The design, development, and deployment of your AI agent: all the work hours that normally make up a project invoice. We cover that in exchange for running the agent on our infrastructure (or as part of a paid consulting engagement).

What do I actually pay for?

Managed agents: a monthly bill that scales with usage. Compute, storage, and LLM inference all rolled in. Private LLM deployments: a fixed monthly fee based on model size and throughput. Consulting: time & materials, billed hourly, daily, or weekly.

What's a private LLM and why does it matter?

A private LLM is a dedicated, single-tenant language model. It's still cloud-hosted, but provisioned exclusively for you in isolated infrastructure. It's not a public API and it's not shared with any other customer. Your prompts, data, and outputs stay inside your dedicated environment. Essential for regulated industries, sensitive IP, and strict data-residency requirements.

Can you just consult instead of building?

Yes. We offer architecture reviews, model selection, eval design, and embedded engineering for teams building agents in-house. A good fit for organizations with established engineering teams who want expert review or additional implementation capacity.

How long does a build take?

Most agents go live within 7–14 days. Simple single-purpose agents can be done in under a week. Multi-agent systems and private LLM deployments may take longer; we'll scope it clearly upfront.

What if I want to move off your platform?

You own your agent: prompts, code, and data. Full export any time, 30 days' notice. We'd rather you stay because it works well, not because you're locked in.