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Enterprise
From AI pilot to production system
ekoDB collapses the fragmented AI stack into one governed platform, so shipping production AI does not mean stitching together a fragile set of services. One system for data, retrieval, agents, and real-time APIs, with the controls your teams require.
The gap
Pilots succeed. Production stalls.
Across major industry research, most enterprise AI programs are still not scaled enterprise-wide.1 The blocker is rarely the model. It is the backend between a prototype and production: a database, a cache, a search engine, a vector store, an API layer, and an agent framework that each have to be integrated, secured, and operated.
Fragmented data and retrieval
Documents, vectors, and search live in separate systems that have to be integrated and kept in sync before anything ships.
Governance bolted on late
Access control, encryption, and audit get added after the pilot works, then block the path to production.
Reliability found too late
Latency, cost, and failure modes surface after the demo, not before, when they are most expensive to fix.
Every use case pays again
Each new AI feature re-pays the same integration tax, so the second and third projects are as slow as the first.
1 Sources: McKinsey, The State of AI (2025) and RAND, Root Causes of Failure for AI Projects (2024). Most surveyed organizations report AI still in pilot or experimentation rather than enterprise-wide production.
The answer
One agentic backend platform
ekoDB collapses the stack into one system: document and key-value storage in place of a primary database and cache, full-text and vector search in place of a search cluster and a vector store, real-time APIs in place of a custom API layer, and an in-database agent runtime in place of an external agent framework. Fewer components to integrate, secure, monitor, and scale from the first pilot to production.
Multi-model in one engine
Document, key-value, full-text, and vector search in a single database, so retrieval sits next to your data.
In-database agent runtime
Agents with tools, goals, scheduled tasks, and native RAG run inside the deployment. No second system to sync.
ACID with real isolation
Transactions with configurable isolation up to Serializable, MVCC, and tunable durability with write-ahead logging.
Security built in
AES-256-GCM at rest, TLS in transit, an immutable audit log, and collection- and field-level access permissions.
Keys stay server-side
Bring your own OpenAI, Anthropic, or Gemini key; it stays server-side and is never exposed to the browser.
Real-time APIs
REST, WebSocket, and SSE APIs for any frontend, with live subscriptions and SWR caching out of the box.
Enterprise deployments
Built for your production constraints
Enterprise deployments add the controls, isolation, and integration your platform and security teams require. We scope and provision them with you during onboarding.
Multi-region & failover
Deploy across regions with geo-failover, provisioned to the regions your users are in.
Dedicated infrastructure
Isolated, dedicated, or VPC deployments sized to your workload and isolation requirements.
Sync with your databases
Real-time Ripple sync with the Postgres, MongoDB, and Redis you already run, plus ekoDB-to-ekoDB replication.
SSO & role-based access
SAML single sign-on and role-based access control across your organization, on top of built-in collection- and field-level permissions.
Backup & disaster recovery
Automated backups, point-in-time recovery, and disaster-recovery runbooks for your data.
Custom SLAs & support
Availability targets, response times, and support terms defined in your enterprise agreement.
Autoscaling clusters
Multi-node clustering that scales with demand, benchmarked at matched durability.
Observability & audit
An immutable audit trail and operational metrics you can surface in your own monitoring stack.
Security & compliance
Controls your security team expects
Encryption at rest
AES-256-GCM. Record IDs, the write-ahead log, and the cache are encrypted at rest by default.
Encryption in transit
TLS on every client connection to your deployment.
Immutable audit log
Security and data-mutation events are recorded in an append-only audit trail.
Access controls
Collection- and field-level permissions, on a three-tier admin, API-key, and JWT model.
Server-side keys
Your model-provider keys stay server-side and are never exposed to the browser.
Compliance
Built to SOC 2 controls, with our SOC 2 Type 1 audit underway. Security posture and a DPA are available under NDA.
Control model
Automation with control
ekoDB does the repetitive backend work and proposes changes. You keep the decisions that matter, with explicit approval before anything reaches production.
ekoDB automates
- Proposes schemas, APIs, and function scaffolding
- Suggests and applies index and query tuning
- Runs scheduled operational tasks
- Explains slow queries and surfaces hot data
You control
- Data model constraints and access permissions
- Approval gates before production changes
- Tool permissions and server-side keys
- Deployment region, machine tier, and environment policy
Proof
What we can show you
Performance
Benchmarked, not asserted
Multiples of MongoDB and PostgreSQL write throughput at 1M records, with auth, AES-256-GCM encryption, and search built in.
See the benchmarks →Security
Enterprise controls today
AES-256-GCM at rest, TLS in transit, immutable audit logging, and collection- and field-level permissions. Built to SOC 2 controls; SOC 2 Type 1 audit underway.
Review security →Reliability
Live system status
Real-time component health and latency across every service, always on and public.
View status →Design partners
Build with us
We are onboarding a small group of enterprise design partners and building their production requirements alongside them.
Become a design partner →Measure what matters
How enterprise teams evaluate ekoDB
Time from pilot to production
Fewer systems to integrate and govern means the first release ships sooner, and the next one sooner still.
Systems per AI use case
Data, retrieval, agents, and APIs in one platform replaces the database-plus-vector-plus-orchestration stack.
Time to diagnose and fix
The database explains slow queries, surfaces hot data, and reads its own logs, so issues are found in the conversation.
Talk to us
Request enterprise access
Tell us where you are with AI and what you're building. We'll scope a deployment and a path to production with you.
Frequently asked questions
Do you have a SOC 2 report?
Our SOC 2 Type 1 audit is in progress. Today we run AES-256-GCM encryption at rest, TLS in transit, an immutable audit log, and collection- and field-level access controls. We can share our security posture and a DPA under NDA.
What is your uptime SLA?
Custom availability targets are part of your enterprise agreement, backed by a live system-status page across every service.
Can we deploy multi-region?
Yes. Enterprise deployments support multi-region and geo-failover, provisioned to your regions during onboarding.
Can it sync with our existing Postgres or Mongo?
Yes. Enterprise deployments sync in real time with the Postgres, MongoDB, and Redis you already run, in addition to ekoDB-to-ekoDB replication.
Can we use SSO and role-based access control?
Yes. Enterprise deployments support SAML SSO and role-based access control, on top of the built-in collection- and field-level permissions.
How does it scale?
Multi-node clustering with autoscaling, benchmarked at matched durability, scaled to your workload as part of enterprise onboarding.
Enterprise
Bring your production AI to ekoDB
Tell us where you are with AI and what you're building. We'll scope a deployment and a path to production with you.