See the real work
Calls, data, systems, documents, code, decisions, and constraints.
Fwdry is the AI deployment company
Our forward-deployed engineers work inside companies to turn real workflows, company context, and expert judgment into agentic systems that run in production. Independent of the labs, we build on whichever models earn the work.
From work to an agentic system
The gap
The model is rarely the bottleneck. The missing layer is your company: the process, context, systems, standards, exceptions, and human judgment behind the work.
Without that layer, teams get pilots and copilots. The work itself stays the same.
AI transformation is the mandate. Deployment is the work.
How Fwdry works
Calls, data, systems, documents, code, decisions, and constraints.
Turn the workflow into a skill, agent, or product experience.
Connect the tools, evaluate behavior, and ship inside the workflow.
Capture what worked as reusable skills, evaluations, and operating context.
What this looks like
An onboarding agent gathers what it needs, creates the required configuration, and guides the user through exceptions.
The system carries promises, requirements, risks, owners, and next actions from the conversation into delivery.
Governed agents monitor KPIs, explain variance, update forecasts, and escalate exceptions with evidence.
The Fwdry platform
A living, governed, executable library of your operating knowledge. Not a wiki of how things should work, but the context, skills, evaluations, and history agents use to do the work.
Forward-deployed engineers prove the system inside the company. Fwdry is building the software version: capture the work, turn it into skills, evaluate what it produces, and keep the record current as the company changes.
The factory is what Fwdry does. The system of record is what you own. It gets more valuable every time the work runs.
The builders
Ardis and Petar were CEO and CTO at Element451, an AI-first vertical software company. Now they are building Fwdry from deployment problems they lived firsthand.
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