Idrak · enterprise AI infrastructure

The understanding
layer for the
enterprise.

Your systems already hold the answers. Idrak builds the layer that makes them readable, to your teams, your analysts, and your agents. Confirm what a column means once, in YFlow, and every product built on top inherits the same answer.

ThinkCore
YFlow
Insights
Idrak
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The gap

Enterprises have
the data. The AI
cannot read it.

An ERP schema was designed for storage, not for meaning. Column names are abbreviations, the same entity appears in nine tables, and the rules that make a number correct live in people's heads. Point a model at it and you get fluent answers that are quietly wrong.

The missing piece is not a bigger model. It is a layer that knows what your data means, how your entities relate, and which definitions your business actually uses. Build that once and every agent, dashboard, and analyst inherits it.

Three products, one architecture

One understanding layer. Three ways to put it to work.

Confirm what your data means once, in YFlow. Insights and ThinkCore both stand on that same confirmed understanding: ThinkCore makes the inference affordable, Insights turns the understanding into decisions your teams act on.

Insights Decision layer
What the business finally gets out of the work your data team did: decisions with the reasoning attached, and no dashboards to dig through.
reads meaning from
YFlow Intelligence engine
Works out what every table and column in your warehouse means, and asks your team to confirm what it cannot be sure of, once. Every other product inherits the answer.
runs its inference on
ThinkCore Inference layer
On-premise or private-cloud inference tuned for the way Idrak reasons over enterprise data: twelve times the reach on the hardware you already own.
See it work

The whole stack, in plain language.

YFlow

The engine that learns your business.

YFlow reads your ERP, CRM, and operational systems and works out what every table and column means: a semantic model that names things the way your business does, and a knowledge graph that holds how they relate. Anything it cannot be sure of, it asks your team to confirm, once. Then it opens that layer through MCP and API, so any agent or analysis tool queries meaning instead of guessing at schemas.

Explore YFlow →
Understanding layer
SOURCE tbl_ord_hdr · itm_mst · loc_dim
↓
MEANING Order · Product · Site
↓
GRAPH Site orders product from supplier
↓
Open to agents MCP API
Decision ready
Cut Sunday replenishment by 20% in Riyadh
Objective · reduce operating cost. Sunday ordering has exceeded demand for six weeks running.
· Write-off logs, 6 weeks
· Demand by day
· Orders vs actual
Insights

Name the objective. Get the decision.

Insights sits on top of YFlow and works the way the people running the business think. You state a goal, it watches the business against it, and it brings back decisions with the reasoning attached, so you can approve, reject, or ask why.

Explore Insights →
ThinkCore

Your own models, at a price that works.

On-premise AI usually fails on economics, not capability. ThinkCore is the inference layer that fixes the maths: optimized serving tuned for the way YFlow reasons over data, so the hardware you already bought goes much further.

Explore ThinkCore →
0x
more users served on the same hardware
0%
more efficient token usage for YFlow operations
Idrak

Start with the layer
everything else needs.

Idrak turns “the model says” into “here’s how we know.” We start with a read-only connection to one system and show you what Idrak understands before anything is deployed.

Book a demo
YFlow Insights ThinkCore
Idrak · idraklab.com