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About

Enterprise search that works.

ZenSearch is an enterprise AI search platform built by Zenous AI. We connect your internal data sources and make them searchable with AI — accurate answers, full citations, and complete data control.

The problem

Enterprise knowledge is scattered across dozens of tools — Confluence pages, Slack threads, GitHub repos, Jira tickets, Google Drive folders, SharePoint sites, CRM records, and databases. Finding the right information means searching each tool individually, asking colleagues, or giving up.

Existing solutions are either too expensive, too limited, or require sending your data to third-party servers with no control over how it's processed.

Our approach

ZenSearch connects to your data where it lives, indexes it with hybrid vector search, and lets your team search, chat, and run AI agents across everything — with permission-aware results and source citations on every answer.

On-premise deployment means your data stays on your infrastructure. Bring your own AI models, deploy in air-gapped environments, and maintain full compliance control.

What we believe

Principles that guide how we build ZenSearch.

Accuracy First

Every answer includes source citations. We build guardrails against hallucination, not just speed to response.

Security by Default

On-premise deployment, RBAC, encryption, and audit logging are core features — not premium add-ons.

Open Architecture

Bring your own models, connectors, and infrastructure. No vendor lock-in. Deploy anywhere you need to.

Built for Teams

Permission-aware search that respects your organization's access controls across every data source.

What we build

A complete enterprise search and AI platform.

Hybrid Search

Dense and sparse vector search with cross-encoder reranking for precise results.

100+ Agent Tools

Custom agents with multi-agent delegation, three-layer self-improving memory (persistent, observational, procedural), canvas artifacts, and 5 starter templates.

13 Connectors + 4 Databases

S3, Confluence, Jira, GitHub, SharePoint, Google Drive, Slack, Notion, Salesforce, SAP, HubSpot, Azure Blob, Web Crawler — plus PostgreSQL, MySQL, ClickHouse, and SQL Server (17 sources total).

4 Surfaces

Slack, Microsoft Teams, Chrome side panel, and web — with cross-surface continuity.

On-Premise & Governance

Self-hosted with air-gap support. Risk tiers T0-T5, approvals, identity federation, and Control Tower.

Automations

Schedule agents on cron or events. Deliver results via webhook, Slack, or email.

From the blog

Engineering and product insights from the ZenSearch team.

Engineering7 min read

How ZenSearch Prevents Runaway AI Agent Costs

AI agents can burn through token budgets when a plan goes wrong. ZenSearch ships a layered cost-control system — complexity-aware budget tiers, per-tool timeouts, pre-flight cost ceilings, and soft-limit pause-and-resume — that keeps a single bad query from becoming a five-figure invoice.

April 14, 2026
Engineering7 min read

Procedural Memory: How ZenSearch Agents Learn From Successful Workflows

After a successful multi-tool session, ZenSearch distills the workflow into a reusable procedure — name, trigger pattern, ordered steps, pitfalls — and future runs progressively disclose and reuse it. Here's how the Hermes-inspired self-improving loop works.

April 7, 2026
Engineering6 min read

80% Token Compression on Long AI Conversations: Observational Memory

Long agent conversations blow past context windows. ZenSearch's observational memory layer extracts the key findings, tool usage, and pending work into a compact summary that replaces the full history — typically 80%+ token compression on 50+ message chats.

March 31, 2026
Product6 min read

Putting an AI Assistant in Slack and Microsoft Teams With Cross-Surface Continuity

Your team already lives in Slack and Teams. ZenSearch ships native assistants for both, with Block Kit / Adaptive Card answers, approval cards, threaded replies, and cross-surface continuity — the same conversation follows you from web to Slack to Teams.

March 24, 2026
Product7 min read

AI Agents That Read and Write Google Workspace, Microsoft 365, and Zendesk

Collectors index your data. Integration tools let agents act on it — reply to Gmail threads, create Jira tickets, update Zendesk cases, manage Airtable records. ZenSearch ships 85+ built-in tools across the platforms your team actually uses, plus MCP and custom-webhook tools for everything else.

March 17, 2026
Engineering8 min read

Bring-Your-Own-LLM: Running ZenSearch on Groq, Bedrock, Azure, or Ollama

ZenSearch routes every chat, embedding, and rerank call through a centralised Model Gateway. That means swapping providers is a config change — run on Groq for speed, Bedrock for AWS-native, Azure AI Foundry for per-tenant, or Ollama for fully local. Here's how the gateway works and what each provider is actually good for.

March 10, 2026
Engineering6 min read

Syncing Enterprise Data Without Re-Indexing the World

Re-indexing a million-document corpus every night isn't a sync strategy — it's a bill. ZenSearch combines content-hash dedup, per-connector incremental sync, page-change detection, and set-diff deletion detection to sync only what actually changed.

March 3, 2026
Product5 min read

ZenSearch vs OpenClaw: Enterprise Knowledge Platform vs Personal AI Assistant

OpenClaw is an impressive personal AI assistant, but it's fundamentally different from ZenSearch. Here's how enterprise RAG search and personal task automation serve completely different markets.

February 24, 2026
Engineering8 min read

What Is Retrieval Augmented Generation (RAG)? A Guide for Enterprise Search

Retrieval augmented generation combines search with AI generation to deliver accurate, cited answers from your own data. Here's how it works and why enterprises are adopting it.

February 10, 2026
Engineering6 min read

Vector Search + Keyword Search: Why Hybrid Beats Either Alone

Dense vector search captures meaning. Sparse keyword search captures exact terms. Combining them delivers the best retrieval accuracy for enterprise knowledge bases.

February 3, 2026
Product7 min read

Building AI Agents for Enterprise: Beyond Simple Chat

AI agents combine LLM reasoning with tool calling to handle complex, multi-step tasks over enterprise data. Here's how agent-powered workflows transform knowledge work.

January 27, 2026
Security5 min read

Permission-Aware Search: RBAC That Actually Works at Query Time

Enterprise search without access control is a security liability. ZenSearch enforces document-level permissions at query time, synced from your identity provider.

January 20, 2026
Security6 min read

Private AI Deployment: Why On-Premise Search Matters and How to Deploy

For regulated industries and security-conscious organizations, on-premise AI deployment gives complete control over data, models, and infrastructure.

January 13, 2026
Security6 min read

AI Guardrails: Preventing Hallucination, Injection, and Data Leaks

Enterprise AI needs safety nets. ZenSearch's guardrails system validates both inputs and outputs to catch prompt injection, hallucination, PII exposure, and toxic content.

January 6, 2026
Product7 min read

Connecting 17+ Data Sources: How Enterprise Search Connectors Work

From Confluence to Salesforce to PostgreSQL — ZenSearch connects to 17+ data sources with authentication, incremental sync, permission import, and rate limiting.

December 30, 2025
Engineering5 min read

Natural Language to SQL: Querying Enterprise Databases with AI

ZenSearch translates natural language questions into SQL queries against PostgreSQL, MySQL, ClickHouse, and SQL Server — with schema awareness and safety guardrails.

December 23, 2025
Engineering5 min read

Centralized AI Model Management for Enterprise Platforms

Managing multiple AI providers across an enterprise platform requires centralized routing, usage tracking, rate limiting, and seamless provider switching.

December 16, 2025
Product5 min read

Enterprise Search vs. ChatGPT: Why General AI Isn't Enough

ChatGPT doesn't know your internal data, can't enforce access control, and hallucinates without citations. Here's why enterprises need purpose-built search.

December 9, 2025

Get in touch

Whether you're evaluating enterprise search solutions or have questions about ZenSearch, we'd like to hear from you.