Autonomous agents that build & ship software
PATENT PENDINGTransforming enterprise software delivery from months to hours; automated, auditable, alive.
Agents carry a requirement all the way to production: design, architecture, code, tests, infrastructure, deploy. The speed is safe because an evidence-graded graph of your software estate scopes every change, and every step seals immutable, exportable proof.
Fastbecause the graph makes it safeprovable because it’s audited
AI system awareness before code generation. Every candidate edge resolves only as its evidence attaches. This is why the speed is safe.
Months become hours not by cutting corners, but by removing the work that never needed a human in the first place (discovery, scoping, and plumbing) and by making the risky parts governed. Here is each cost, and what Findry does about it.
01Planning takes quarters
8–16 weeks of PRD walkthroughs and review cycles before build.
Impact analysis in minutes, from the graph
A requirement traverses the software estate graph to its impacted services, APIs, events, tables, and owners, deterministically, before anyone writes code.
02Blind discovery
Grepping code and chasing Slack to guess a change's blast radius.
Owners and blast radius resolved from evidence
The graph already knows who owns what and what couples to what, and every impacted-node claim links the evidence that justifies it.
03Rework over reuse
Hand-rolling scaffolds, CI/CD, IaC, and auth while docs drift.
Codified templates and extractors
Recurring structure becomes reusable extractors, policies, and Blueprint templates: captured once, applied everywhere the graph recognises the pattern.
04Risky shipping
Fragmented stacks and late policy driving failed releases.
Gated canary with attested rollback
Rollout is generated from the graph and gated through policy; a canary advances on healthy signals and rolls back on breach, each transition sealed into the audit trail.
The promise is efficiency: enterprise delivery from months to hours. The graph is the mechanism that makes the speed safe, and governance is the permission to go fast. Here is each thread, with a link to the full page.
The platform
Findry is the control plane between an enterprise requirement and production. It builds the Engineering Memory Graph, the Blueprint, and the evidence Ledger, and orchestrates coding agents, policy guardrails, and continuous delivery behind one adapter interface: batteries included, or bring your own.
How it works
A requirement is scoped on the graph, graded for risk, planned, and approved by a human before governed agents execute it. Agent dispatch, review, scanner gates, and a staged rollout all run under policy, and every stage is sealed into an evidence ledger you can audit.
The mechanism
Generic agents know files; Findry understands the software estate. An evidence-backed dependency graph spans code, APIs, events, tables, ownership, and deploys, with no trusted edge without evidence, a database constraint, not a convention. The graph is the moat.
The FDE program
Forward Deployed Engineers convert enterprise expertise into product IP. An engineer works inside a design partner’s software estate, and every hour leaves something durable behind: a new extractor, a policy, a Blueprint template, a confirmed edge.
Request a pilot
We’re onboarding a small number of design partners. The parsers, graph, and governed workflow spine are real; anything simulated is labelled as such. No fake demos.