Context Intelligence Layer: AI-ready business understanding

Context Intelligence Layer: AI-ready business understanding

Connect data where it lives. Prepare shared context with local SLMs and deterministic pipelines. Start chatting right after connection.

Connect data where it lives. Prepare shared context with local SLMs and deterministic pipelines. Start chatting right after connection.

4 Layers of context

4 Layers of context

Data

Connect your databases and Genloop maps your tables, columns, and relationships automatically.

Data

Connect your databases and Genloop maps your tables, columns, and relationships automatically.

Processes

Define your KPIs, playbooks, and reference docs. Genloop uses your definitions every time.

Decisions

Every correction your data team makes is stored and applied to every future answer.

People

Validated knowledge stops being locked to one person and starts shaping how Genloop responds to everyone.

Processes

Define your KPIs, playbooks, and reference docs. Genloop uses your definitions every time.

Decisions

Every correction your data team makes is stored and applied to every future answer.

People

Validated knowledge stops being locked to one person and starts shaping how Genloop responds to everyone.

The Layer

The Layer

One layer of understanding. Five things it changes.

One layer of understanding. Five things it changes.

All sources. One verified context layer. Continuously evolving.

All sources. One verified context layer. Continuously evolving.

Every source

Your whole estate, put to work

Most data stays untapped because preparing it takes months. Genloop connects structured and unstructured sources where they live and makes them AI-ready on connection, not after a pipeline project.

Every source

Your whole estate, put to work

Most data stays untapped because preparing it takes months. Genloop connects structured and unstructured sources where they live and makes them AI-ready on connection, not after a pipeline project.

Every source

Your whole estate, put to work

Most data stays untapped because preparing it takes months. Genloop connects structured and unstructured sources where they live and makes them AI-ready on connection, not after a pipeline project.

Dashboard permissions interface showing role-based access and validation workflow

One shared graph

One graph. Every relationship.

Tables, columns, KPIs and rules stop living in disconnected layers. Genloop auto-builds a verified graph of how everything relates, so no app or agent rediscovers context on its own.

Dashboard permissions interface showing role-based access and validation workflow

One shared graph

One graph. Every relationship.

Tables, columns, KPIs and rules stop living in disconnected layers. Genloop auto-builds a verified graph of how everything relates, so no app or agent rediscovers context on its own.

Dashboard permissions interface showing role-based access and validation workflow

One shared graph

One graph. Every relationship.

Tables, columns, KPIs and rules stop living in disconnected layers. Genloop auto-builds a verified graph of how everything relates, so no app or agent rediscovers context on its own.

Graph Retrieval

Answers that get cheaper and faster

Retrieving established context through the graph replaces repeated LLM exploration. In our study, graph routing cut serving cost 2.3 to 3.3x and median latency 1.8 to 3.4x. Study scope: 3 databases, 146 held-out questions, same learned endpoint, vs graph-disabled retrieval.

Graph Retrieval

Answers that get cheaper and faster

Retrieving established context through the graph replaces repeated LLM exploration. In our study, graph routing cut serving cost 2.3 to 3.3x and median latency 1.8 to 3.4x. Study scope: 3 databases, 146 held-out questions, same learned endpoint, vs graph-disabled retrieval.

Graph Retrieval

Answers that get cheaper and faster

Retrieving established context through the graph replaces repeated LLM exploration. In our study, graph routing cut serving cost 2.3 to 3.3x and median latency 1.8 to 3.4x. Study scope: 3 databases, 146 held-out questions, same learned endpoint, vs graph-disabled retrieval.

Multiplayer Understanding

Knowledge that compounds, not drifts

Definitions stop living in individual heads and scattered docs. Every correction and validation becomes shared truth, so what one expert knows starts shaping answers for everyone, people and agents alike.

Multiplayer Understanding

Knowledge that compounds, not drifts

Definitions stop living in individual heads and scattered docs. Every correction and validation becomes shared truth, so what one expert knows starts shaping answers for everyone, people and agents alike.

Multiplayer Understanding

Knowledge that compounds, not drifts

Definitions stop living in individual heads and scattered docs. Every correction and validation becomes shared truth, so what one expert knows starts shaping answers for everyone, people and agents alike.

Enterprise Sovereignty

Understanding that stays yours

Preparing context reveals business IP, so it never leaves your boundary. Local SLMs handle the sensitive work inside your VPC or fully air-gapped deployment, and learning stays governed by your data experts.

Enterprise Sovereignty

Understanding that stays yours

Preparing context reveals business IP, so it never leaves your boundary. Local SLMs handle the sensitive work inside your VPC or fully air-gapped deployment, and learning stays governed by your data experts.

Enterprise Sovereignty

Understanding that stays yours

Preparing context reveals business IP, so it never leaves your boundary. Local SLMs handle the sensitive work inside your VPC or fully air-gapped deployment, and learning stays governed by your data experts.

How It Works

How It Works

From connection to conversation, the same day.

From connection to conversation, the same day.

Every source

Databases, lakehouses, enterprise records, documents and business know-how. Structured and unstructured, unified in one layer. Source data stays in place.

Every source

Databases, lakehouses, enterprise records, documents and business know-how. Structured and unstructured, unified in one layer. Source data stays in place.

Instant mapping

Right after connection, Genloop maps which tables exist, how tables and columns relate, and how your KPIs are constructed. No manual mapping. Preparation happens on your boundary.

Instant mapping

Right after connection, Genloop maps which tables exist, how tables and columns relate, and how your KPIs are constructed. No manual mapping. Preparation happens on your boundary.

Traceable answers

Ask business questions the day you connect. Every answer carries the queries and sources behind it.

Traceable answers

Ask business questions the day you connect. Every answer carries the queries and sources behind it.

Compounding context

Every conversation reinforces the linkages in the graph. The more your teams use it, the sharper the connections between tables, concepts and KPIs become.

Compounding context

Every conversation reinforces the linkages in the graph. The more your teams use it, the sharper the connections between tables, concepts and KPIs become.

Shared truth

Your data experts add business understanding directly, review proposed changes, and decide what becomes shared truth.

Shared truth

Your data experts add business understanding directly, review proposed changes, and decide what becomes shared truth.

Customer Stories

Trusted by data-driven enterprises

Real results from teams putting Genloop to work every day.