One source of truth
A cloud-native, hyper-converged engine unifies transactional and analytical workloads with native vectors — no ETL sprawl, no stale copies.
NEW Memory & Agent runtime now in general availability
Control your data.
Control your data.
Power your AI.
OmniFabric weaves data, models, and agents into one self-reinforcing intelligence fabric — so every AI decision is grounded in trusted, governed, real-time data.
Trusted by data & AI teams shipping production agents
Intelligence
Flywheel
Flywheel
Agent
Model
Data
Vector search · 4ms p99
Decision lineage captured
One fabric for the modern data & AI stack
Shanghai Electric
SANY
Alibaba Cloud
Haier
China Mobile
China Telecom
The intelligence flywheel
Agent · Model · Data — unified in one fabric
Traditional stacks bolt a vector store, a model gateway, and an orchestration layer onto a legacy database. OmniFabric collapses them into a single hyper-converged platform where each layer makes the others smarter.
Any model, governed
Route to any LLM or embedding model through one surface, with every call wrapped in a context snapshot and full audit lineage.
Agents that improve
Production agents learn from implicit feedback, retain long-term memory, and self-evolve behind regression gates — safely, in production.
1
Unified fabric — DB, vectors, models & agents
100+
Models reachable through one API
4ms
p99 hybrid & vector search latency
99.99%
Availability with decoupled storage
Data sovereignty
Your data and AI never leave your control
For regulated and mission-critical workloads, OmniFabric runs where your data must live — your region, your infrastructure, your rules. Full residency, deployment flexibility, and end-to-end governance, built in.
Regional data residency
Your data and models stay in-region by default, meeting local data-residency and sovereignty requirements.
Deploy anywhere
Run on local cloud, on-prem, or hybrid edge — the same platform, wherever compliance requires.
Unified governance
RBAC, full audit trails, and snapshotting for every AI-driven outcome — no black-box decisions.
Compliance-ready
Protect PII, trace every decision end-to-end, and reproduce any result for legal and regulatory sign-off.
Real business ROI
Turn AI strategy into measurable outcomes
When data, models, and agents share one fabric, work that took days collapses into seconds — and the numbers show up on the bottom line.
16 days→1 min
Contract review
Legal teams surface risk clauses instantly instead of reading line by line.
3 hrs→10 sec
Data entry
Documents are parsed, structured, and written back automatically.
80%
Less analyst workload
Routine reporting and reconciliation handled by trusted agents.
90%
Faster bid prep
Proposals assembled from the knowledge base in a fraction of the time.
Why OmniFabric
One fabric beats a stack of point solutions
Hyperscalers sell you five services to wire together; legacy platforms give you a database and stop there. OmniFabric is one platform you own — unified, sovereign, affordable, and self-improving.
All-in-One
Data, vectors, models, and agents in a single platform — no glue code, no five-vendor stack to operate.
Sovereignty
Run in your cloud, on-prem, or air-gapped. Your data and models stay under your control, in your region.
Cost-Effective
One bill, no inter-service egress, no per-feature SKUs — cut total cost of ownership dramatically.
Self-Evolution
Agents learn from production feedback and improve behind regression gates — value compounds over time.
| Capability | OmniFabric | Hyperscaler stack | Traditional data platform |
|---|---|---|---|
| Unified data + vectors + models + agents | Single platform | 5–6 stitched services | Database only |
| Run anywhere — cloud, on-prem, air-gapped | Full data sovereignty | Vendor cloud lock-in | Self-host, no AI layer |
| Total cost of ownership | One bill, no egress | Many SKUs + egress fees | Cheap core, costly add-ons |
| Self-evolving agents with lineage | Built-in | DIY, if at all | Not available |
| Time to production | Days | Weeks to months | Months |
| Native vector & hybrid search | Built-in · 4ms p99 | Separate vector service | Add-on or none |
| Multimodal data — PDF, image, video | Native ingestion | Multiple stitched services | Not supported |
| Real-time HTAP on fresh data | One engine | Separate OLTP + OLAP | Batch ETL lag |
| Open standards, no lock-in | SQL + open APIs | Proprietary services | Partial |
| Security & compliance audit | Lineage + full audit trails | Per-service config | Database-level only |
Customer stories
Teams ship faster when one fabric backs every decision
We retired our separate vector database and ETL jobs. Search, analytics, and our agents now read the same live data — and our p99 dropped to single-digit milliseconds.
Extreme VisionAI vision platform
Decision lineage was the unlock. Every agent action is explainable and reversible, so compliance signed off and we went to production in weeks, not quarters.
Stone CastleInvestment firm
Contract review went from over two weeks to about a minute. The knowledge base keeps itself current, so our analysts focus on judgment, not data entry.
Consumer GoodsGlobal consumer-goods leader
Case studies
From pilot to production across industries
Extreme VisionAI Vision
+40%
feature reuse
A unified multimodal data & feature platform
Teams stopped rebuilding the same models — cross-department feature reuse rose 40% and dev cycles shrank 30%.
AI vision platform
Read case study
Shenzhi CityGovernment
Unified
multimodal corpus
A unified multimodal corpus for a smart city
Consolidated complex multimodal city data into one governed corpus powering smart-city applications.
Smart-city platform
Read case study
Amway NutriliteRetail & CPG
+50%
marketing efficiency
An AI Agent data foundation for marketing
A Copilot built on a unified agent data foundation lifted marketing efficiency by more than half.
Global nutrition & wellness brand
Read case study
Jinpan TechnologyManufacturing
+40%
bidding efficiency
Knowledge graphs for smarter bidding
Correlating data across many sources sped up complex, high-stakes bidding decisions by about 40%.
New-energy manufacturer
Read case study
Stone CastleFinance
80%
analyst time freed
Automated investment research at scale
Research automated across 60+ data sources freed about 80% of analyst time for strategy.
Investment firm
Read case study
Consumer GoodsLegal
16d → 1m
contract review
Instant contract risk review
Risk-clause review collapsed from 16 days to about a minute, and the knowledge base stays current.
Global consumer-goods leader
Read case study
Solutions
Built for the workloads that matter most
One fabric powers a range of high-value, production AI applications.
Document intelligence
Contract review, claims, and compliance — parsed, understood, and answered with citations.
Learn moreCustomer-facing copilots
Support and sales agents grounded in real account data, with memory across every conversation.
Learn moreReal-time analytics
HTAP queries over fresh operational data — dashboards and agents read the same source of truth.
Learn moreEnterprise search & RAG
Hybrid keyword + vector retrieval across every source, with governance built in.
Learn moreRisk & compliance
Every agent decision carries lineage and audit trails regulators can inspect.
Learn moreProcess automation
Back-office workflows — data entry, reconciliation, reporting — run by self-improving agents.
Learn more
How it works
From evaluation to production in three steps
1
Connect your data
Point OmniFabric at your databases, files, and streams. It ingests, parses, and embeds everything into one governed fabric — no separate vector store required.
2
Compose your agents
Wire any model into agents with built-in memory and skills. Every call is snapshotted, so behavior is explainable from day one.
3
Ship & self-improve
Run safe A/B tests on live data, gate changes behind regressions, and let agents refine themselves — with rollback always one click away.
Weave your data and AI into one fabric
Start free, connect your first source in minutes, and ship a trusted agent the same day. Talk to us when you're ready to scale.