Love
Agentic AI
but wish it followed
your processes?
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Production quality code, half the token cost.
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Plan twice, code once.
Tapestry writes the specification before it writes the code. Two rounds of thinking before a single line of implementation. The result is less rework, less back-and-forth, and fewer surprises when it matters.
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Set it. Leave it.
Hand Tapestry a specification and get on with your day. It runs on your own hardware, for as long as the problem demands. No developer sitting idle waiting for output.
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Hardened as it's written.
The audit runs at the same time as the build. Vulnerabilities are found as code is written, not discovered weeks later. Fixes land in the same pull request as the problem they solve, not caught in a separate security cycle.
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Signs off against your spec.
Functional tests, integration tests, end-to-end checks, all run against the original specification. Tapestry won't mark work complete until your spec says it is. “It compiles” was never the standard; this is.
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Intel gathering, document creation, and training capability.
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Legal reviews and drafting, without the bill.
Tapestry writes it, marks it up, and tells you what’s wrong. The work a junior associate would do, in the time it takes to make a coffee.
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Turn process documents into training people will actually finish.
SOPs become courses. Policies become podcasts. Compliance docs become flow diagrams you can follow without a translator.
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Explore your organisation’s knowledge, expertise and contacts.
Every document, every project, every relationship, in one conversation. The stuff buried in SharePoint, finally findable.
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Ditch the news. Make your own morning podcast.
Tapestry reads what you care about overnight and has the briefing ready before your first coffee. Your sources, your priorities, your voice in your ear.
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Capturing domain expertise with Ontologies
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Ingest everything, in any form.
Documents, code, calls, meetings, notes, messages, comments. Structured databases and a scrap of handwriting. Core reads it all.
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Map it onto an ontology.
Every artefact is parsed, related and placed onto a platform-wide flexible ontology. Source-of-truth is governed and versioned over time, not left to a context window.
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Control agents with explicit roles.
Different jobs, done by different parts of the system. One coordinates. One researches. One retrieves. None of them work from memory. If it isn’t in the source, it doesn’t appear in the answer.
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Pipe domain expertise to apps, agents and users.
The knowledge your organisation has built, delivered to whoever needs it. APIs for your applications. MCP for your agents. CoWorker and Code for your people. One source of truth, wherever the work happens.
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Resolving Sovereign AI, on-prem
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What do you actually need it to do?
Who’s using it, how many people, how often, and for what. Quick questions or long agent runs. We help you work it out.
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Where does it have to live?
Data centre, edge rack, ship, or out in the field. Power, bandwidth, heat, and connectivity all shape the answer. We map the constraints with you.
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Which model fits?
Qwen 3.6, GLM-5.1, Llama 4, or something else. Right-sized to the job, tuned on your data where it matters. We pick it together.
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What hardware runs it?
CPUs, GPUs, memory, storage, network, power. Every customer requirement is different. We work with you to design a build best suited to your need.
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Cloud-native delivery with Barkley rails.
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What do you actually need it to do?
Who’s using it, how many people, how often, and for what. Quick questions or long agent runs. We help you work it out.
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Which jurisdiction does it have to stay in?
UK, EU, Five Eyes, or a specific national boundary. Region, residency, and which laws reach your data. We map the rules with you.
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Which model fits?
Qwen 3.6, GLM-5.1, Llama 4, or something else. Right-sized to the job, tuned on your data where it matters. We pick it together.
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Which cloud, and how locked down?
AWS, Azure, GCP, or a sovereign provider. Private endpoints, customer-managed keys, no telemetry out. We design the deployment.
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Learn, innovate, and kick your admin tasks into touch
Tapestry, Barkley's open platform brings models, data, and governance together so teams can ship trusted AI in production, not just in demos.