Enterprise AI Platform
Enterprise AI that ships to production
Build, deploy, and govern AI agents and copilots grounded in your own data with the security, evaluation, and observability enterprises require.
Data flow
- 1Your data sources
- 2Ingestion & embeddings
- 3Governed retrieval
- 4Agent orchestration
- 5Cited response
Enterprise AI stalls between pilot and production
Most organizations run dozens of AI experiments but struggle to operationalize them safely at scale.
87%
of enterprise AI pilots never reach production without a governed platform.
Ungoverned data exposure
General-purpose models leak sensitive data and lack the access controls regulated enterprises need.
Endless pilots
Promising demos rarely reach production because they lack evaluation, monitoring, and integration.
Fragmented tooling
Teams stitch together vector stores, orchestration, and observability with no unified platform.
Unproven ROI
Without measurement, leadership can't tell which AI initiatives actually move the business.
Measurable impact, not science projects
HexaAI customers see results within the first quarter of deployment.
74%
Faster document processing
Automated extraction across contracts, claims, and forms.
3x
Knowledge-work productivity
Copilots grounded in company knowledge.
60%
Lower support cost
Deflection through accurate, cited answers.
90d
Pilot to production
A repeatable path to a governed deployment.
Everything you need to run AI in production
A complete platform spanning retrieval, agents, evaluation, and governance.
Grounded retrieval
Answers rooted in your private knowledge.
- Hybrid vector + keyword search
- Automatic re-ranking
- Source citations on every answer
Agentic workflows
Multi-step agents that act with guardrails.
- Tool-calling & planning
- Human-in-the-loop approvals
- Deterministic guardrails
Governance & evaluation
Trust enforced across the stack.
- Document-level access control
- Automated eval harness
- Full prompt & tool tracing
A layered platform built for control
Every layer is observable, governed, and deployable in your environment.
Experience layer
Orchestration layer
Knowledge layer
Foundation layer
Experience layer
Orchestration layer
Knowledge layer
Foundation layer
From strategy to production in 90 days
A proven, phased approach that de-risks enterprise AI adoption.
- 1
Discovery & strategy
Identify high-value use cases, data sources, and success metrics. (Weeks 1–2)
- 2
Grounded pilot
Stand up retrieval on your data and ship a measured pilot. (Weeks 3–6)
- 3
Evaluation & hardening
Add guardrails, evaluation, and access governance. (Weeks 7–10)
- 4
Production rollout
Deploy to your VPC with monitoring and change management. (Weeks 11–13)
Under the Hood
Intelligence you can trust and inspect
Grounded, cited, and evaluated every response is traceable back to its sources.
- Every answer links to the source passages it was grounded in
- Quality and safety scored on every release
- Your data never trains shared models
Cited answers
Every response links back to the source passages it was grounded in.
Continuous evaluation
Quality and safety scored on every release and monitored in production.
Privacy by design
Residency and retention are enforced; your data stays in your boundary.
Tailored to how your teams work
One platform, adapted to the highest-value use cases across the enterprise.
Challenge
Agents waste hours searching scattered documentation for answers.
Solution
Grounded copilots surface cited answers and draft responses in the flow of work.
Outcome
60% lower cost per ticket and faster resolution times.
Connects to your existing stack
Pre-built connectors for the systems your knowledge already lives in.
Knowledge
Where your documents live.
Data
Your systems of record.
Channels
Where people work.
Identity
Your access model.
Runs where your data lives
Choose the deployment model that meets your security and residency needs.
SaaS
Fully managed
Multi-tenant and always up to date with zero operational overhead.
Private VPC
Single-tenant
Runs in your cloud account with customer-managed keys and VPC peering.
On-premises
Air-gapped
Fully isolated deployment with complete data residency.
Enterprise-grade from day one
Security isn't an add-on it's built into every layer of the platform.
Access control
Document-level RBAC enforced on every retrieval and generation.
Encryption
Encrypted in transit and at rest with customer-managed keys.
Auditability
Immutable audit logs for every prompt, retrieval, and action.
Data isolation
Your data never leaves your boundary and never trains shared models.
Outcomes we've delivered
Real deployments, measured results.
From our engineering blog
Answers for decision-makers
No. Your data is used only for retrieval within your boundary and never trains shared models. Residency and retention are fully configurable.
Have questions about our enterprise platforms? Ask us at hello@hexagoninfosoft.com
See HexaAI on your own data
Book a working session with our AI engineers and leave with a grounded prototype.