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Industry

AI Startups

AI-native teams work with us to take agents, retrieval systems, and inference pipelines from impressive prototype to reliable, cost-controlled production.

Inference cost reduced
Up to 70%
Agent task success rate
92%+
Eval-gated deploys
100%
The brief

What this sector demands

The constraints that shape every system we ship for ai startups.

The gap between an AI demo and an AI product is enormous, and it is almost entirely engineering. Reliability under real inputs, cost control at scale, evaluation you can trust, guardrails that hold when users do unexpected things. That is what separates a viral video from a system a customer will pay for and depend on.

We build production AI systems: autonomous and multi-agent architectures with tool use and planning, retrieval-augmented generation over proprietary data, fine-tuning and evaluation pipelines, and inference infrastructure tuned for latency and cost. Where it makes sense, we connect agents to on-chain execution under strict, auditable controls.

Everything ships with the unglamorous parts that make AI trustworthy: structured evaluation and regression suites, observability into prompts and outputs, prompt-injection and abuse defences, and cost dashboards so a successful launch does not become a runaway bill. We help AI-native teams move fast without shipping something they cannot stand behind.

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Building for AI Startups?

Bring us the hard part. We will respond with a senior engineer's assessment of your problem, a realistic timeline, and a fixed-scope proposal — typically within two business days.