Modly

Platform

One layer between your knowledge and your people

Modly is the organizational intelligence layer, it connects your systems, scopes knowledge by team, and answers questions grounded in your company's real sources.

How it works

From scattered information to trusted answer

  1. 01

    Connect systems

    OAuth into the tools your teams already use.

  2. 02

    Build context

    Scope sources into role-specific Context Profiles.

  3. 03

    Ask naturally

    Cited, streaming answers from your knowledge.

  4. 04

    Trust the answer

    Permission-aware and fully auditable.

Building blocks

The four building blocks of Organizational Intelligence

Every AI capability you'll deploy, chat, agents, workflows, automation, needs the same four things to reason over your business. Modly provides all four so every AI system in your organization builds on the same foundation.

Trusted Sources

The systems, documents, and repositories your organization already relies on to make real decisions, contracts, policies, source code, tickets, CRM records. Modly ingests them where they live; nothing has to move.

Context Layers

Not every piece of information is relevant to every question. Context Layers assemble the right knowledge from the right sources before the model reasons over it, so answers stay focused and grounded.

Context Profiles

The same question can have different right answers depending on who's asking. Context Profiles ensure every employee, and every AI agent, receives the context appropriate to their role and permissions.

Governance

Every answer cites its sources, every retrieval respects the asker’s access, every query is logged. Governance is what makes automation possible, not what slows it down.

Under the hood

How your knowledge becomes a trusted answer

Ingest

Orchestrated, source-scheduled ingestion pulls pages, issues, threads, repos and records, resolving credentials securely at run time.

Index

A document registry tracks versions so unchanged content is skipped. Only new or updated documents are re-embedded, fast and cost-efficient.

Retrieve

Semantic search is scoped to the Context Profile's sources, merged across providers, recency-boosted, and filtered by the asker's permissions.

Answer

The model composes a response with inline citations back to every source document, routed through your chosen LLM.

Model-agnostic

Bring your own model

Modly routes through a model gateway, so you're never locked to one vendor. Use OpenAI's GPT, Google Gemini, Anthropic's Claude, or a self-hosted, OpenAI-compatible model, and register custom model targets of your own. Administrators set which models are allowed and default per organization, with usage and spend tracked per key. Embeddings stay on a consistent model so your vector index never drifts.

OpenAI · GPT

GPT-4o and newer

Google · Gemini

Gemini Pro & Flash

Anthropic · Claude

Sonnet, Opus & Haiku

Self-hosted

Any OpenAI-compatible endpoint

See Modly on your own knowledge

Request a demo, or join the waitlist for early access.