Your Harness, in source
Own the instructions, Skills, Agents, approved memory, evidence, and immutable release history around your model. Inspect it, extend it, and roll it back.
OpenPond Enterprise
Own the harness. Improve the model. Ship the workflow.
We learn how your team works and deliver source-owned agent software that runs in OpenPond Desktop and our hosted cloud. Harness Refiner turns completed-work evidence into inspectable behavior updates; Managed RL improves model weights when your data and evaluations show that training is the right next step.
Talk to the team
Software your team owns, delivered for the work you actually do.
We take a hands-on approach: learn the workflow with your team, review the data and model requirements, then deliver production work items that run locally or hosted. OpenPond keeps identity, integrations, Harness releases, execution evidence, evaluation, and model lineage connected as the software improves.
Desktop and hosted OpenPond
Run the same source-owned work items beside local projects in Desktop or on managed cloud infrastructure without rebuilding the workflow.
Harness Refiner
After completed work settles, Refiner reviews bounded evidence and proposes the smallest reusable Harness improvement—or records that no change is justified.
Managed RL
Turn persistent, measurable model limitations into qualified Tasksets, bounded training runs, frozen evaluations, and candidates with complete lineage.
Enterprise operations
Connect OAuth providers and enterprise SSO, then operate recurring or webhook-triggered schedules with history, artifacts, budgets, and approvals.
Team systems and knowledge
Put the same agent beside Slack, Microsoft Teams, Google Drive, Docs, GitHub, and the systems where your team already communicates and works.
Work across the systems your organization already trusts.
Google Drive
Slack
Microsoft Teams
GitHub
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We implement the work with you.
Our team works from the outcome backward. Each implementation remains software your team can inspect and own, with explicit permissions, evaluations, and operating boundaries. We stay close through rollout, learn from real usage, and improve the Harness or model at the layer the evidence supports.
- 01
Learn the workflow
We work hands-on with the people doing the job to understand the outcome, decisions, source systems, exceptions, approval boundary, and evidence of success.
- 02
Deliver the software
We build and ship source-owned work items, integrations, schedules, evaluations, and review surfaces that run in hosted OpenPond and Desktop.
- 03
Improve the Harness and model
We review your data needs, measure real outcomes, use Refiner for reusable Harness updates, and recommend or run model improvements when the evidence supports them.