Assess
Agent Data Assessment
Fixed fee · 2–3 weeks
We pick one agent workflow with you, confirm data rights and access, baseline the manual effort it replaces, and define what "done" means.
Learn more →IData designs, deploys, and operates agent data workflows on Datris, the open-source data control plane we built. Governed access, validated feeds, and a full evidence trail, inside your infrastructure.
Founded in 1998. Building on AWS since 2007. Mission-critical data infrastructure for pension funds, prime brokerages, asset managers, and government-sponsored enterprises.
"The agent prototype works. The path to production data does not. Nobody can say which data the agent may read, whether that data was checked, or what the agent did with it. We build that path."
The agent gets a service account and a connection string. Security asks what it can reach. Nobody has a precise answer.
When an answer is wrong, there is no record of which feed, which version, or which rule it came from. Compliance cannot sign off on that.
Each source gets a one-off script. Vendors change formats, schemas drift, and the people who wrote the scripts move on.
Three stages, each priced and scoped on its own. Start with one workflow. Every engagement reuses the connectors, policies, and patterns from the last, so the second workflow costs less than the first.
We pick one agent workflow with you, confirm data rights and access, baseline the manual effort it replaces, and define what "done" means.
Learn more →We connect the agreed sources to your agent through Datris, inside your infrastructure, with validation, access policy, audit, and lineage switched on from day one.
Learn more →We stay accountable for the integrations we built. Source changes, failures, upgrades, and expansion, handled inside your perimeter under your access controls.
Learn more →A research team has an agent that answers questions well in a demo. To use it for real, it needs approved vendor data, selected internal research, and portfolio positions, with every record validated and every access recorded. This is what we build.
Datris taps pull each source on a schedule or on event. Validation rules, written in plain language and enforced on every record, stop bad data before the agent sees it.
The agent reaches data only through governed tools. Policy decides what it may read and do. Sensitive fields are protected before they leave the platform.
Every run has lineage and an audit entry: which source, which version, which rule, which agent. Compliance can trace any answer back to the data that produced it.
Datris is open source. Your security team can read every line, your platform team can fork it, and nothing phones home. datris.ai →
Your cloud or your data center, your credentials, your access controls. We work within them. There is no hosted service and no third-party processor.
Pension funds, prime brokerages, asset managers, and government-sponsored enterprises. We know the data, the controls, and the review process.
Taps, policies, destination patterns, and acceptance suites carry from one engagement to the next. You pay for your workflow, not for us to start over.
Built a cloud-based data ecosystem that gave investment teams instant, governed access to hundreds of datasets. The foundation that agent workflows now build on.
Read More →A conversational interface that lets support staff diagnose operational issues instantly, ingesting 140,000+ log messages per second into governed retrieval.
Read More →The open-source data control plane we created and maintain. Agents operate pipelines through governed tools, with policy, lineage, and audit built in.
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