Make your data usable everywhere the work happens.
The expanding market for data consumers is also expanding where data has to be discoverable and accessible. Buyers now expect to find and use your data natively: inside OpenAI, Anthropic and Gemini, inside Snowflake, Databricks and BigQuery, inside AWS, Azure and GCP, inside every industry platform they already work in. Your data is more useful than ever before, but only if it can be found, purchased, and accessed where it will be used.
The near future
Meet your customers where they live.
Your data can now serve far more people, personas and use cases than it ever could. Capturing that means integrating natively into the systems they already work in, in the shape they need: an MCP server for a model, an API for a B2B platform, a native share into a data warehouse. We help you build the pipelines and the management layer that make all of them one system instead of many.
What it takes to support that
- A common data store that feeds every channel
- MCP, API and data-platform integrations built from one pipeline
- Entitlement and access control applied uniformly
- Governance and provenance maintained across destinations
- Usage observable everywhere your data lands
Integration layer
One store, every destination
Delivery pipeline
One source, many shapes
The practice
Be where the question gets asked.
Build one machine-readable discovery layer. Syndicate it to every surface where buyers and agents look.
Reach
- One catalog, syndicated everywhere
- AI platforms and assistants
- Cloud marketplace listings
- Partner and reseller ecosystems
- Recommendations and referrals you can measure
Legibility
- A problem-led product catalog machines can parse
- Coverage, schema and freshness
- Provenance and usage examples
- Product fit for the problem being asked
- Evidence kept current, not point-in-time
Access
- Documented APIs and MCP servers
- Samples and self-serve trial paths
- Native paths into customer workflows
- Access the moment a product is found
- No sales call to evaluate
Success looks like
Access
Agents find, understand, compare and access every product. No sales call required.
Visibility
Your data shows up in answers before buyers ever search for your brand.
How we work
Benchmark it. Spec it. Build it.
We start with a short, scoped benchmark of this practice: where you stand, against whom, and what to build first. You own everything we produce, with us or without us.
Benchmark
- Ask the questions your products should win
- Audit what assistants and catalogs can find
- Map every surface where you should appear
Spec
- Define the problem-led catalog and metadata model
- Design syndication across every priority channel
- Set recommendation and referral measures
Build
- Publish catalogs, schemas and usage examples
- Connect API, MCP, sample and trial paths
- Syndicate every product to the right surfaces
Manage
- Monitor how systems describe and recommend you
- Keep coverage, freshness and access signals current
- Turn missed questions into products and placements
Customers
The infrastructure powering the data economy
The reach benchmark
See whether AI puts your data in the answer.
We ask assistants the questions your products should win, trace what they can find, understand and access, and audit every priority catalog, marketplace and partner surface. You keep the scored readout and the ranked list of moves.
Request the benchmark