Services — IData

Assess. Implement. Run With You.

Start with one workflow. Every stage ends with something you own, whether or not you continue to the next.

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.

You get

One workflow selected and scoped
Data rights and access confirmed with your security team
Current manual effort baselined
Acceptance criteria
Architecture and access-policy design
Fixed-scope implementation proposal

You keep

The design, the acceptance criteria, and a proposal you can take to anyone.

Implement

Agent Data Integration

Fixed scope · 6–10 weeks

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.

You get

Sources connected through Datris taps
Validation rules on every feed
Access policy for what the agent may read and do
Audit log and lineage for every run
Monitoring and a runbook
Documented handover and passed acceptance test

You keep

Everything. Open-source platform, your deployment, your credentials, your code.

Operate

Run With You

Recurring · in your infrastructure

We stay accountable for the integrations we built. Source changes, failures, upgrades, and expansion, handled inside your perimeter under your access controls.

You get

Source-change and schema-drift handling
Failure response against agreed targets
Platform upgrades and security advisories
Quarterly review of freshness, quality, and usage
Expansion backlog for the next workflows

You keep

All access and credentials. We work within your controls; nothing leaves your environment.

Pricing. No number on this page, on purpose: an engagement is scoped to one workflow and one environment. Tell us the shape and we will reply with a proposal.

Licensing. Datris is open source. If your organization requires a commercial license, that is sold separately through datris.ai. Our services do not depend on it.

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What the offers are built from

Data Modernization & Lakehouse

Cloud-native data platforms that agents and analysts can both use: data lakes, lakehouses, streaming ingestion, and the governance to go with them. Datris loads and governs beside the lake; it does not replace it.

Deliverables Cloud architecture, lake or lakehouse, ingestion pipelines, data catalog, security and compliance implementation

Technologies AWS, Azure, GCP, Databricks, Unity Catalog, Snowflake, Apache Iceberg, Kafka, Terraform

Data Quality & Governance

Validation, profiling, deduplication, and field protection on every feed. Rules written in plain language, enforced on every record, with evidence of what passed and what did not.

Deliverables Validation rule set, profiling reports, protection policy for sensitive fields, catalog registration

AI Application Development

The agent or application on top of the governed data: research assistants, operations copilots, document processing, retrieval over internal knowledge.

Deliverables Production application, governed tool access, evaluation suite, documentation

Technologies Anthropic, OpenAI, AWS Bedrock, Azure OpenAI, local models via Ollama, MCP

Advisory

Short engagements for teams that need a plan before a build: data readiness for agents, platform selection, security and compliance design, roadmap.

Deliverables Assessment report, architecture blueprint, prioritized roadmap