We design, implement, and evaluate AI agents and systems so your company can put them into production with control, traceability, and evidence.
Generic AI tools solve generic problems.
Your business is not generic.
That is why we design, test, and govern each solution around the reality of your operation.
We build reproducible evaluations to measure quality, safety, and reliability in real scenarios — including edge cases, tool failures, and manipulation attempts.
We map data, models, vendors, permissions, and impact. We define controls, ownership, and clear criteria for putting each use case into production.
We instrument decisions, tool calls, cost, latency, and quality so your team can investigate failures, track changes, and produce auditable evidence.
For teams that need control over their environment and data. Allerac One runs agents on your own hardware, with no telemetry and no vendor lock-in.
Explore Allerac One →We identify where AI creates value and build the right solution — automations, agents, integrations, or pipelines — with tests and controls designed in from the start.
We understand the process, data, people involved, and required outcome before selecting a technology.
We map failure modes, data exposure, impact, and ownership. Every material risk becomes a verifiable control or test.
We implement with your team and validate the system against real cases, acceptance criteria, and operating boundaries — not just a demo.
Once live, we track quality, cost, safety, and behavioural changes while preserving history and evidence for future decisions.
Allerac implemented a conversational assistant specialised in foreign trade for OpenWorld. The solution connects the company's content to a simple visitor experience, supported by operational controls behind the scenes.
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A self-hosted platform for running agents on your hardware with isolation, tool controls, and data under your custody. The foundation for private, observable AI operations without dependence on a single vendor.
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