DeepExpanse Platform · Trusted by 30+ mid-to-large enterprises

Make AI work where business happens

DeepExpanse is an enterprise AI platform that brings knowledge Q&A, agent orchestration, and data intelligence together — taking LLMs from demo to production, solving real business problems.

Request access → Explore the platform
99.9%
Service availability
60%+
Avg. efficiency gain
210M
Daily inference calls
300ms
Average latency
Products

Three layers of AI, ready for production

From knowledge to action, from conversation to decisions — an out-of-the-box AI foundation for business teams.

🧠

Deep Know · Knowledge Q&A

One-stop intelligent Q&A over your enterprise knowledge. Multi-source ingestion with permission-aware control — turn documents scattered across the org into a conversational asset.

RAG · Fine-grained access
🤖

Deep Agent · Agent orchestration

Visually orchestrate multi-agent workflows, connect business systems and tools, and let AI do more than answer — let it execute and close the loop.

Agents · Tool calling
📊

Deep Lens · Data intelligence

Natural-language analytics that auto-generate metrics and visual narratives — putting data capability in the hands of every business role.

Analytics · NL2SQL
Platform

One platform, one thread:
fully controlled from onboarding to rollout

The platform unifies model routing, knowledge ingestion, agent orchestration, and security audit — so your team spends less time on infrastructure plumbing and more on business problems.

  • Unified multi-model routing with canary switches — no vendor lock-in
  • Granular permissions and data isolation for compliance and audit
  • Full observability: every call and every reasoning step is traceable
  • Private / hybrid-cloud deployment — your data stays in your fence
DeepExpanse · sample run
$ dx agent run --task "monthly business review"

indexed 12 business data sources… done
generated analysis scope & anomaly attribution… done
produced structured report, synced to workspace… done

# output: business review v1.3 (3 risk flags)
By the numbers

Production data speaks for itself

We don't sell with slide decks. We let real numbers from live workloads do the talking.

210M
Daily inference calls
99.95%
End-to-end availability
300ms
P95 response latency
8 weeks
Avg. time from onboarding to go-live
Customers

Already running in production, at scale

Financial services · Risk assistant

Credit application document QA

Multimodal document parsing combined with rules engine — manual review volume dropped sharply.

-72%review workload
Retail · Supply-chain knowledge hub

Store operations Q&A and alerts

Integrates inventory and store data so frontline managers get actionable recommendations directly.

+18%per-store productivity
Manufacturing · Maintenance assistant

Fault diagnosis and repair guidance

Turns veteran know-how into structured knowledge — diagnosis time drops from hours to minutes.

-83%mean time to identification

Ready to make AI work where business happens?

Tell us about your scenario. We'll get back within 48 hours with a feasibility assessment and a PoC plan.

Enterprise partnerships & cooperation hello@deepexpanse.org