Sold by: Falconer
Context engineering platform for the entire company. Falconer turns Slack, code, docs, and tickets into one source of truth that stays accurate for your team and your AI agents.
Overview
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Trustworthy AI answers
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Healthy context for your agents
Falconer is a context engineering platform for the entire company. It turns the sprawl of Slack, code, docs, and tickets into one automatically maintained source of truth, and keeps it accurate as the codebase grows and teams collaborate. Most docs rot the day they ship: code changes, decisions move, and pages quietly go stale. Working with agents makes that urgent. Agents take a stale doc at face value and act on it, at machine speed, across every session at once. You can't fix that at inference time. It has to be kept true at the source. Falconer monitors your connected sources, detects when a document no longer matches the codebase, and proposes or makes the update automatically.
Falconer's agent searches across your documents, code, and connected tools to answer your teams questions, citing each answer to the correct source. Call the agent from document editor, from Slack, or from the command line. Prompt it to write new docs, draft runbooks and specs, file Linear issues, start working on meeting action items, and reorganize your knowledge structure into a clean hierarchy.
Falconer connects to the tools engineering teams already use, including GitHub, Linear, Slack, and Granola, and stays aware of your codebase and its history. It owns the entire knowledge lifecycle: generating docs from your code, updating them as the code changes, organizing them as you grow, and scoring knowledge health for drift and gaps at every step. The result is a company brain built as living infrastructure, a single source of truth that stays correct for both your team and the AI agents working alongside them.
Highlights
- Documentation that updates itself. Falconer watches your code, tickets, and conversations, then flags and rewrites docs the moment they go stale. Your knowledge base stays accurate without manual upkeep.
- Find any answer in seconds. Falconer connects your docs, code, tickets, and conversations into one knowledge graph, then lets Falcon traverse it to return grounded, cited answers. Ask from the editor, Slack, or your terminal and trust what comes back.
- Built for engineering teams. Falconer connects to GitHub, Linear, Slack, Granola, and more, stays aware of your codebase, and keeps one source of truth that both your team and your AI agents can rely on.
Details
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Deployed on AWS
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Self-hosted license | One year of self-hosted Falconer in your own AWS account | $100,000.00 |
Dimensions summary
This listing offers one pricing option: a self-hosted license sold by unit. Each unit covers one year of running Falconer inside your own AWS account. Pricing scales with the number of units you purchase, and the term is a one-year commitment. You deploy Falconer as a single-tenant instance using reviewable infrastructure as code, keeping data and network control in your environment. You supply your own approved model provider keys, or point to a model endpoint inside your perimeter. To add capacity, you adjust the quantity of units you buy.
Top-of-mind questions for buyers
One unit covers one year of running Falconer as a single-tenant instance inside your own AWS cloud account. You deploy it using reviewable infrastructure as code, with private networking and no public ingress. Add units to increase capacity for your environment.
No. Freshness detection, passage-level retrieval, permission-aware access, and the read/write agent server all run the same way in your cloud account. Container images mirror into your own registry, so nothing pulls from a public registry after install for licensing, telemetry, or updates.
No. With self-hosting you supply your own approved model provider keys, or point to a model endpoint inside your own perimeter, including an open-weight model on your own GPUs. Model inference stays under your own accounts and billing, separate from the Falconer license.
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Refunds are available only if you cancel your service within the first month of your paid subscription. No refunds will be issued after the first month of paid service.
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Support
Vendor support
Contact us at support@falconer.com Or browse our documentation:
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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