Fabric by Weaver - Agentic Development Platform for Enterprise AI

As described on AWS Marketplace.

<p>Most AI programs build first. Fabric proves the ROI first - and governs how the build then ships to a fixed scope and timeline.</p><p></p><p>95% of business AI programs fail to deliver measurable value (MIT NANDA, 2025). The failure point isn't model capability - it's delivery: pilots that never reach production, token spend discovered on the invoice, and systems that break with the next foundation-model update. Fabric was built to close that gap.</p><p></p><p>Fabric is the Agentic Development Platform from Weaver, the AI-Native Systems Integrator. It covers the full lifecycle of AI solution delivery - from scoping and solution architecture through specs, coding, review, and testing, into go-live support and maintenance - with autonomous agents doing most of the build work and humans gating every output.</p><p></p><p>How it works:</p><p></p><p>- <strong>Spec first</strong>. Requirements live as versioned, diffable specs - the system of record that drives every agent task. Nothing is built that wasn't specified and approved.</p><p></p><p>- <strong>Agents build, humans approve</strong>. Fabric's agents produce code as reviewable pull requests, plus tests, reviews, and eval suites, grounded in an org-level context engine of conventions and reusable patterns. Each project compounds the pattern library, so every build starts further ahead than the last.</p><p></p><p>- <strong>Quality and cost are governed</strong>. Releases clear a negotiated eval bar before go-live. Every model call is traced with per-project cost accounting. Proprietary regression protection keeps production workflows stable through foundation-model updates.</p><p></p><p>- <strong>Enterprise-grade by default</strong>. Execution is sandboxed and project-isolated with scoped credentials. Model selection is vendor agnostic - the right model for each task - with continuous token-spend monitoring.</p><p></p><p>Fabric operationalizes three of the six pillars of Return on Intelligence - Cost, Trust, and Performance - and it's the structural reason Weaver commits to fixed-fee, fixed-timeline production builds that human-only delivery teams cannot match. We run our business on Fabric the way we tell clients to run theirs.</p><p></p><p>Proven in production: The Telegraph runs four agents built through Fabric - Style, Legal, Creative, and Fact Check - inside its live publishing workflow, cutting first-pass edit time 60-80% and legal screening time 85-95%. A large enterprise converted its contract base into actionable operational intelligence, with obligations and risk surfaced automatically.</p><p></p><p>Available as a platform subscription for enterprise engineering organizations.</p>

Highlighted by the publisher on AWS Marketplace.

From spec to production, governed end to end - spec-driven, eval-gated agentic development with human approval gates at spec, code review, and deployment. Production AI, not demos.

Cost you can defend to a CFO - every model call traced, per-project token budgets and cost accounting, vendor-agnostic model selection. Token spend is a managed line item.

Systems that survive model drift - proprietary regression protection holds accuracy benchmarks through foundation-model updates.

As stated by the publisher on AWS Marketplace.

All fees are non-refundable and non-cancellable except as required by law.