The company, for people who fund infrastructure.
Platform for Modern Intelligence and Data. PLOMID is building one data layer that holds structured rows, documents, time-ordered events and the models that follow, with one planning, execution and storage path underneath all of them.
One layer instead of a shelf of systems.
Applications rarely use one shape of data. PLOMID's answer is not to pick a winner among data models, but to give them one common layer underneath.
Most teams do not need five databases. They need one place where the data agrees with itself, where a join, a document read and a time window come from the same system, in the same transaction boundary, through the same operations story, whichever client is asking.
PLOMID is built as a platform rather than a product surface: a query and planning layer, one execution path, one storage contract, and a set of data models that extend it. The company's bet is that the model layer is the durable part of the value, and that each added model inherits everything already built beneath it.
The direction from there is outward: retrieval, traversal and object metadata as further access paths; distribution, multi-region and multi-storage as deployment; and integrating the enterprise systems a business already runs.
- Company
- PLOMID, Platform for Modern Intelligence and Data.
- Building
- Unified data infrastructure: one data layer for rows, documents, time-ordered events and the models that follow.
- Stage
- Engineering-led, pre-scale. The system is being built from the storage layer up.
- Published metrics
- None. We do not publish usage, revenue or adoption figures we cannot substantiate.
Three claims this company rests on.
Stated as claims rather than assurances, because each one is falsifiable against the system.
The split is historical, not physical
Rows, documents and events are different ways of shaping data. They ended up in different systems because of how tooling grew, not because the data demands it.
The integration bill is paid in application code
Every team that runs separate stores rebuilds the same reconciliation layer. That work is invisible on a diagram and permanent in a codebase.
The storage contract is the hard part
One durability, recovery and layout model shared by every shape of data is the part that decides whether a unified layer is real or a query shim over several databases.
What we will not do Publish logos, quotes, benchmarks or adoption numbers we have not earned. If a figure does not exist, it does not appear on this site, including here.
Start with the architecture.
The most useful first conversation is about the system, what one storage contract buys, and where the boundaries are. Write to [email protected].
Built in India. For the world.