Expert engineers building production AI agents — with the harness, guardrails, and real support behind every system we ship.
What We Do
Production AI agents that plug into your existing stack, run multi-step workflows end to end, and hand off to your team when judgment matters.
Learn moreThe model is the engine; the harness is everything around it. We engineer the tools, context, evals, guardrails, and observability that make agents dependable.
Learn moreConnect models to your data and systems securely: MCP servers, knowledge search over your documents, and AI features inside the software your team already uses.
Learn moreHelp your developers ship faster with coding agents. We set up agent-ready repos, workflows, and review processes, then pair with your team until it sticks.
Learn moreCustom web platforms, mobile apps, and internal tools with AI designed in from day one, built to be maintained for years rather than rebuilt next quarter.
Learn moreSearch is moving into ChatGPT, Claude, Gemini, and Perplexity. We make sure AI assistants, and the agents acting for your customers, can find, cite, and choose you.
Learn moreHarness Engineering
Anyone can call an AI model. Getting an agent to behave in production takes a harness: the tools it can use, the context it sees, the rules it follows, and the evidence that it works. That’s where we spend our time.
Well-scoped tools and MCP servers so agents act on real systems.
RAG, memory, and prompt architecture that feed agents the right facts.
Test suites on your real cases, so every change is measured, not guessed.
Validation, prompt-injection defenses, and policy checks before any action.
Approvals and clean handoffs wherever judgment, money, or customers are involved.
Traces, cost, and latency dashboards for everything your agents do.
read_email
Invoice from vendor, 2 attachments
extract_invoice
14 line items, total $18,420.00
match_purchase_order
PO-2291 found, 1 quantity mismatch
guardrail.amount_limit
Over $10k, approval required
request_approval
Sent to AP manager with summary
eval score
98.6%
cost
$0.012
latency
4.2s
Industries
Regulated data, dense documents, and complex technical processes are where generic AI tools fall short, and where a well-engineered agent pays for itself.
Agents that move fast without breaking compliance: every decision traced, every action permissioned.
From lead to lease to close, agents that keep deals moving and paperwork out of your team's way.
AI for the fab and the lab: thin-film growth, molecular beam epitaxy (MBE), metrology, and process data that's hard to wrangle.
Help researchers spend time on experiments instead of paperwork, literature, and data cleanup.
Document-heavy work, done faster and more consistently, with experts reviewing what matters.
Agents that watch the queues, chase the exceptions, and keep humans in the loop on the calls that matter.
Why Businesses Choose Infinite Robots
How We Work
We learn how your business runs and pinpoint where agents and automation will have the biggest measurable impact, and where they won't.
We build a working prototype fast, then prove it against your real data with evals before you commit to a full build.
We add the harness: permissions, guardrails, human approvals, and monitoring. Then we deploy into your environment.
We monitor, tune, and upgrade models as the landscape shifts, so your AI keeps getting better instead of drifting.
FAQ
No buzzwords, no hype. If your question isn’t here, ask our robot in the chat, or a human on a free consultation.
A chatbot answers questions. An agent takes actions: it reads your systems, calls tools, makes decisions within limits you set, and completes multi-step work like processing a document, updating a record, or drafting a reply, then asks a human when it should.
The harness is everything around the model: the tools it can use, the context it sees, the guardrails it follows, the evals that prove it works, and the monitoring that shows what it did. Harness engineering is building that system so agents are reliable in production, not just in a demo.
AEO (agent engine optimization) makes your business easy for AI assistants and agents to find, understand, cite, and act on. It covers structured data, answer-ready content, crawler access, and agent-facing endpoints, and it's measured by how often AI recommends you.
We're model-agnostic. We regularly build with models from Anthropic, OpenAI, and Google, plus open-weight models that can run privately, and we choose based on your accuracy, cost, latency, and data requirements.
Almost never. Most of our work connects AI to the tools you already use, such as your CRM, ERP, document storage, and internal APIs, so your team keeps its workflow and the busywork disappears.
Agents get least-privilege access, sensitive actions require approval, and every step is logged. When data can't leave your environment, we deploy private or self-hosted models.
We’ll map where AI fits your business, and where it doesn’t. No pitch deck required.
Beep boop. Your agents are ready when you are.