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Platform overview

Syncgate handles every AI request
your company makes

Syncgate handles the AI requests employees send from chat, Teams, coding tools and more. It verifies the user's permissions, checks the request with guardrails, sends it to an approved model and records every step. Answers draw on company documents, databases and tools from company systems.

Used from

ChatAgentsHarnessesMicrosoft TeamsWeb widgetAPIMCPCoding tools11
Syncgate
The gateway that handles every AI request
Permission checkOnly data within the user's permissionsGuardrailsChecks for personal data and risky requestsModel gatewayApproved models · usage limitsLoggingTraces · audit log

Connects to

Document sources38Databases10Tools and MCP serversModel providers23

Administration and operations

Administration and auditSSO · SCIMInstallationOperator console

Select an item to go to its feature page. Syncgate is installed on company servers or in a private cloud, and on an air-gapped network it connects only to in-house models.

How it works

Connect, search,
automate and control

  1. Connect data and tools

    Connect 38 document sources, 10 databases and tools from your company systems. Documents from Confluence, Jira, Slack, Box, Dropbox and others can keep the permissions of their source.

    Document connectorsDatabasesTool connections

  2. Search company knowledge

    Employees ask in chat and get answers with a source cited for every sentence. The glossary and knowledge graph tell the AI how company terms and data relate.

    Knowledge searchGlossaryKnowledge graph

  3. Automate repetitive work

    The ways of working that skilled AI users built up on their own become harnesses the whole team uses. Assign a task in chat, with no command line, and the harness produces the result files and checks them.

    HarnessesAgentsScheduled tasks

  4. Control AI use

    Syncgate checks permissions on every request and applies guardrails, and the model gateway handles model calls. Each request is recorded in the audit log.

    GuardrailsModel gatewayAdministration and audit
Terminology

Key terms

Definitions of the key terms used in the product screens and the manual.

Connector

A connection that regularly brings in documents from company systems (such as Confluence, Google Drive and Slack).

Knowledge base

Where documents are collected and indexed so that AI can search them. It holds files uploaded directly and documents brought in by connectors.

Cited answer

An answer that shows, on each sentence, the source number of the document it is based on.

Agents

An AI work assistant with its instructions, data and tools set in advance. Example: “Internal policy assistant.”

Harnesses

A work environment that combines work procedures, data, a runtime and completion checks. Upload files and request a task, and it produces result files, then recalculates those results to check them.

Skills

Instructions that describe how to do a specific task. Agents and harnesses load them when they need them.

Guardrails

A mechanism that checks what goes into and comes out of a model, masking personal data or blocking risky requests.

Model gateway

A gateway that connects AI models from multiple providers and sets who can use which model, and how much.

Code gateway

A gateway that collects the requests from the AI coding tools developers use (such as Claude Code and Codex), applies company policy to them and records them.

MCP

An open connection standard (Model Context Protocol) that AI uses to work with external tools and data.

Glossary

A list of company terms, their meanings and synonyms. It helps AI correctly understand the company terms in a question.

Knowledge graph

A graph that connects tables, columns, business concepts and documents as nodes and edges. AI follows the relations to answer.

20 features

Four feature areas

Work automation5

Hand repetitive work to AI and get the results as files.

HarnessesWork environments your team shares, taking each task through to result filesAgentsBuild AI assistants for each departmentChat and unified agentFinds the documents and agents that fit each question, then answersSkillsSave how a task is done as instructions and share themMemoryRemembers the knowledge you share about your work and uses it in answers

Control and security5

Decide who can use which models and data, and check and record what is sent to and from AI.

GuardrailsMasks personal data and blocks risky requestsPermissions and share reviewAnswers within each user's permissions and shares only after approvalModel gatewaySet who can use each model, and its limitsCode gatewayApplies company policy to developers' coding toolsEvaluation and tracingScores answer quality and records how each request is processed

Company knowledge and data5

Connect scattered documents and business data, and answer with the evidence cited.

Document connectorsBrings in and indexes documents from 38 document sourcesKnowledge search and cited answersAnswers with a cited source for every sentenceDatabase queriesQueries business databases in natural language and answers with tables and chartsGlossaryTells the AI what your company's terms meanKnowledge graphAnswers based on the relations between data and policies

Integration and operations5

Integrate with company systems, and install it on your own servers and run it yourself.

Tool connections and MCPConnects company systems as tools the AI can useDistribution channelsUse it in Teams, a chat widget or the API, and manage the agents you already runCollaboration and scheduled tasksWork together in projects and run scheduled tasksAdministration and auditManage users, sign-in, audit logs and retention periodsInstallation and operationsInstall and update on company servers and air-gapped networks

See it with
your own documents

In a consultation, we connect a few of your documents so you can check the answer quality for yourself. Send us your questions and our team will get back to you.

Contact salesRequest security documentation
Product videosReal product screens · Example company ACME Logistics · 16 videos