Overview
Praxis is an agentic AI solution architect for engineering firms, system integrators and forward-deployed teams that compete on complex tenders. It turns a customer requirement into a complete, evidence-backed system design and the full set of documents the engagement needs, in about an hour instead of weeks. A graduate engineer using Praxis designs with the confidence and depth of a ten-year specialist, in a domain they have never worked in before.
Praxis covers the full spectrum of modern AI deployment. Physical AI: intelligent systems that sense, reason and act in the real world, across plants, grids, mines, ports, rail, warehouses, pipelines and water networks. Knowledge work: decision-intelligence software for professionals whose job is judgement over information, such as brokers, analysts, planners and compliance teams. Praxis recognises which the engagement calls for, or whether it needs both, directly from the requirement.
Upload the requirement in whatever form it arrives: PDF, Word, Excel, PowerPoint, CSV, images or a few typed lines. Praxis reads the whole of it, however large, and nothing buried at the back is lost. Before it designs anything, it identifies the questions the requirement leaves open, recommends an answer for each, and waits for your decision. Only then does it produce a complete design: the architecture, technology stack, edge hardware, integrations, risks, scope, pilot gates, roles, engagement model and commercial terms, every item traced back to the customer's own words.
Every design Praxis produces is grounded in a curated body of sector knowledge, regulation, case studies and reference architectures for the customer's industry and country, and every claim it makes is checked before you see it. A design that cannot support what it asserts is not accepted. The result is a proposal you can defend in front of a technical evaluation panel, with the evidence already attached.
From a single approved design, Praxis delivers the complete engagement pack: the proposal in PDF, Word and slide form, the functional specification, the architecture note, a live simulation of the customer's own estate, the command centre, a tutorial film and an engineering paper. Because every document is produced from the same design, a number on the cover, in a figure and in the text is always the same number. Nothing contradicts, nothing drifts, and nothing leaves without passing a final quality check. Where a tender was uploaded, Praxis also produces a dedicated tender response in the tender's own format, answering every rule and numbered requirement.
Sovereign by design. Praxis runs on open-weights models, and every model it recommends to a customer is one that customer can operate on its own hardware or within its own borders. Model selection respects the buyer's jurisdiction and export regime, and the reasoning is stated on the plan. No closed or proprietary model is ever part of the design, so data residency and sovereignty requirements are met by default.
Praxis keeps a permanent record of every run and how it performed. Your team can rate each run and capture lessons, and every future design benefits from them automatically, with no retraining and no waiting. Knowledge is held in one governed system of record with a full audit history, so you always know what the platform knows, where it came from and when it was verified.
Scope is versioned, attributed and owner-controlled. Anyone on the team can contribute context or propose a change; only an owner can approve it, and every decision is recorded with who asked and who decided. Customers get their own private, secure space to review the design, ask questions and raise proposals, entirely separate from your internal workspace.
Highlights
- Single source of truth, zero drift. One validated design plan deterministically renders the proposal, functional spec, architecture note, live simulation and tender response, so claims and numbers never diverge across documents.
- Sovereign and open-weights by construction. Reasons only on open-weights models and recommends only models the customer can run on-premises or in-jurisdiction, with provenance resolved from the buyer's export regime.
- Self-improving institutional memory. Every rated run and filed lesson becomes governed, auditable context for the next design, with no model retraining required.
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Description | Cost/month |
|---|---|---|
Praxis Platform Subscription | Access to the Praxis platform for one organization for the contract term, including the design engine, document generation, the governed knowledge base, customer workspaces, and standard support. Seats and token allowance are purchased separately. | $50,000.00 |
Praxis Seat (human or agent) | One named seat for the contract term. A seat may be a human user or an autonomous agent, and includes a monthly token allowance for design runs and document generation. Additional allowance can be added through token packs. | $50,000.00 |
Praxis Token Pack (1 million tokens) | One million additional tokens of design and document generation capacity, on top of the allowance included with seats. Token packs apply across the organization and are consumed as needed during the contract term. | $50,000.00 |
Vendor refund policy
All Praxis subscriptions are sold through private offers and are non-refundable once the contract term begins. If you believe a charge is incorrect, or you experience a service issue, contact CodeNinja's AWS Practice team at aws.practice@codeninjaconsulting.com within 30 days of the charge. We will review the case and, where a refund is due, request it through AWS Marketplace. Refund terms agreed in a private offer take precedence over this policy.
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Vendor support
For support with Praxis, including onboarding, deployment questions and engagement scoping, contact CodeNinja's AWS Practice team at aws.practice@codeninjaconsulting.com or through https://codeatoms.ai/contact/ . Subscribers receive a response during business hours, Monday to Friday. Each subscription includes guided onboarding and access to the CodeNinja engineering team for configuration and integration support.
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