Enterprise Search
Ask in plain language. Get cited answers across every document, repo, ticket, and channel — with permissions respected end to end.
DoozieSoft · Enterprise Knowledge Intelligence
Enterprise AI
Platform.
Build secure, agentic AI applications on your own infrastructure while keeping enterprise knowledge completely under your control.
- Enterprise Ready
- API First
- Air-Gapped
- Multi-LLM
- Self Hosted
Q3 revenue drivers vs. forecast
Grounded answer
98% evidence match
Revenue beat forecast by 12.4%, led by enterprise renewals 1 and the APAC expansion 2.
Q3-report.pdf · p.12
confluence/finance
- ingest sharepoint://finance/q3
- embed → nomic-embed-text
- route litellm → local-llama-70b
- audit log #84,212 sealed
queries / day
12,483
0%
of your data stays on your infrastructure
0+
model providers behind one routing layer
0+
native enterprise integrations at launch
0%
uptime target for enterprise SLAs
The problem
Enterprise AI shouldn't cost you your enterprise.
Every team wants AI. Every CISO wants control. Today, you're forced to choose between the two — because consumer AI was never built for the enterprise.
See how Cortex solves it-
Scattered knowledge
Answers live in SharePoint, Confluence, drives, and people's heads. Search returns documents — not answers — and half of it is stale.
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AI privacy exposure
Paste a contract into a public AI tool and your strategy becomes someone else's training data. Legal finds out last.
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Vendor lock-in
One provider, one API, one pricing curve that only moves in one direction. Switching costs compound every quarter.
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Disconnected systems
No shared memory across tools. Every AI conversation starts from zero — no context, no history, no institutional knowledge.
The platform
One system of intelligence for your whole organization.
Cortex unifies search, knowledge, research, and agentic AI into a single platform that runs where your data already lives — on your models, under your rules.
Knowledge Platform
A governed knowledge layer — ingestion, chunking, indexing, and lifecycle policies — so answers stay fresh and auditable.
Research
Investigate, corroborate, and produce evidence-backed reports in a dedicated workspace.
Document Intelligence
Extract, classify, and reason over PDFs, contracts, spreadsheets, and email at scale.
Memory
Persistent enterprise memory that carries context across sessions, teams, and projects.
Agentic AI
Agents that plan, retrieve, and act — inside guardrails you define, with every step logged.
Workflow Automation
Scheduled knowledge operations that run themselves — with full audit trails.
Model Routing
LiteLLM-powered routing across cloud, open-weight, and fully local models.
Capabilities
Everything the enterprise needs. Nothing it doesn't.
Knowledge Core
Enterprise Search
Hybrid semantic + keyword retrieval with citations on every result.
Secure RAG
Retrieval-grounded generation that honors your access policies.
Knowledge Graph
Entities, relationships, and provenance — not just vectors.
Document Intelligence
Deep extraction across PDFs, tables, scans, and email threads.
AI & Research
AI Agents
Guardrailed agents that plan, retrieve, and execute multi-step work.
Research Workspace
Corroborate sources and assemble evidence-backed briefs, faster.
Enterprise Memory
Institutional context that persists across every session and team.
Multi-Model Routing
Route by cost, latency, capability, or clearance level — per request.
Platform & Control
APIs
REST-first APIs for every capability. Build on Cortex, not around it.
RBAC
Role-based access control down to the document and field level.
Audit Logs
Every query, retrieval, and model call — immutable and exportable.
Air-Gapped Deployment
Full functionality with zero external calls. Certified-offline ready.
Architecture
One codebase. Every deployment model.
The same binaries run in public cloud, private cloud, on-premise racks, and fully air-gapped environments. Only the network changes — never the platform.
Users & Clients
- Web Console
- Slack
- Teams
- REST API
Cortex Platform
- Gateway
- Orchestration
- RAG Engine
- Agents
- RBAC
Knowledge Layer
- Vector Index
- Knowledge Graph
- Document Store
- Memory
AI Models
- LiteLLM Router
- Cloud LLMs
- Local Models
Enterprise Systems
- SharePoint
- Confluence
- Jira
- Databases
- Object Storage
Model freedom
Bring Your Own Models.
Every request routes through LiteLLM. Use frontier APIs, open-weight models on vLLM, or fully local inference with Ollama — and swap providers without touching application code.
- OpenAICloud
- AnthropicCloud
- GeminiCloud
- Azure OpenAICloud
- OllamaLocal
- vLLMLocal
- OpenRouterGateway
- LiteLLMBuilt-in router
- HuggingFaceHub
- Local ModelsAir-gapped
No model call bypasses your routing policy. Egress is auditable — or zero.
Integrations
Meets your enterprise where it already works.
Native connectors keep Cortex synchronized with the systems your teams live in — with permissions inherited, never copied.
- SharePointDocs
- ConfluenceWiki
- GitHubCode
- GitLabCode
- Google DriveDocs
- OneDriveDocs
- SlackChat
- TeamsChat
- JiraProjects
- REST APIsBuild your own
Security
Your data stays yours. Provably.
Cortex is architected so that a breach of DoozieSoft means nothing to you — because we never hold your data, your models, or your keys.
- SOC 2-aligned controls
- ISO 27001-ready
- GDPR-conscious design
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RBAC
Document-level permissions that mirror your identity provider — enforced at retrieval, not just display.
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Encryption
AES-256 at rest, TLS 1.3 in transit, with customer-managed keys supported end to end.
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Audit Logs
Every query, retrieval, and model call recorded immutably — exportable to your SIEM.
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Customer-Owned Data
Your storage, your keys. Cortex never trains on your content and never moves it off your infrastructure.
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Private Deployment
VPC, on-premise, or fully air-gapped. No phone-home, no telemetry without consent.
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Secrets Management
Vault-backed credentials with automatic rotation and least-privilege service accounts.
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Compliance Ready
Controls mapped to SOC 2, ISO 27001, and GDPR requirements — with evidence exports built in.
Why Cortex
Cortex vs. generic AI SaaS.
| Capability | Doozie Cortex | Generic AI SaaS |
|---|---|---|
| Data residency | Self-hosted on your infrastructure | Vendor-hosted, multi-tenant |
| Air-gapped deployment | Fully supported | Not available |
| Model choice | Any model, via LiteLLM | Single vendor model |
| Citations & evidence | Every answer grounded in sources | Often ungrounded |
| Enterprise memory | Persistent, governed knowledge graph | Session-only context |
| RBAC & audit | Full enterprise controls | Basic, or paid add-on |
| Pricing model | Predictable, self-hosted | Per-seat, compounds with usage |
Roadmap
From knowledge to autonomy — in phases.
Each phase ships production value on its own. No "wait for the whole platform" cliff.
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Phase 01
Knowledge
Enterprise search, ingestion pipelines, and secure RAG with citations.
In progress -
Phase 02
Research
Evidence workspace, source corroboration, and exportable briefs.
Next -
Phase 03
Agents
Guardrailed agents that plan, retrieve, and act across your systems.
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Phase 04
Automation
Scheduled knowledge operations, triggers, and self-running reports.
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Phase 05
Marketplace
Community connectors and skill exchange for your Cortex deployment.
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Phase 06
Enterprise Platform
Governance, multi-tenancy, and fleet-scale operations.
FAQ
Answers for enterprise teams.
Cortex is an enterprise knowledge intelligence platform. It combines search, secure RAG, a knowledge graph, enterprise memory, and agentic AI into one system that runs on your own infrastructure — answering questions with citations from your actual documents.
Consumer AI tools send your data to a vendor and answer from general training knowledge. Cortex runs inside your infrastructure, grounds every answer in your sources with verifiable citations, and lets you choose which models touch your data — including fully local ones.
Yes. The same binaries run in environments with zero internet connectivity, using local models via Ollama or vLLM. No phone-home, no telemetry, no external calls of any kind.
Anything LiteLLM can route: OpenAI, Anthropic, Gemini, Azure OpenAI, OpenRouter, HuggingFace — plus open-weight and local models through vLLM and Ollama. Routing policies let you decide which models serve which requests.
Never. Your content stays in your storage, inference goes to models you choose, and DoozieSoft never receives your documents, queries, or embeddings. Indexes and memory live on your infrastructure.
Cortex is evidence-based by design: answers are generated from retrieved sources, every claim carries a citation you can open, and the system can be configured to refuse rather than speculate when evidence is insufficient.
RBAC with document-level permissions, AES-256 encryption at rest and TLS 1.3 in transit, immutable audit logs, vault-backed secrets management, and private deployment options including fully air-gapped environments.
As containers — plain Docker or Kubernetes — in public cloud, private cloud, VPC, or on-premise. One codebase covers every deployment model, so moving between environments doesn't mean rebuilding.
Native connectors cover SharePoint, Confluence, Google Drive, OneDrive, GitHub, GitLab, Slack, Teams, and Jira at launch — with REST APIs for everything else. Permissions are inherited from your identity provider, not duplicated.
Early access rolls out in phases during 2026, starting with the Knowledge phase. Waitlist members get first access. Pricing is flat and self-hosted — no per-seat metering of your own infrastructure.
Early access
Build Enterprise AI Without
Giving Away Your Data.
Join the waitlist for early access, beta invitations, and enterprise demo slots. One launch email — no drip campaigns, no spam.
You're on the list.
We'll reach out as soon as early access opens.
Contact
Talk to the team.
Request a demo
See Cortex answering questions from a realistic enterprise corpus — citations, RBAC, audit trail and all.
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