THE VERIFIED DATA LAYER FOR AI AGENTS
Your Agents. Your Data. Provably Governed.
Your support bot leaked records it shouldn't access. Your pipeline silently corrupted last quarter's numbers. Your auditor asked you to prove your controls work — and you couldn't. ConceptDB is the verified data gateway that makes all three impossible.
VERIFIED
Every Pipeline. Every Request.
Correct by construction — if it compiles, it's correct.
OPEN
Parquet. Any Cloud.
S3, Google Cloud, Azure, local disk. Switch anytime.
MCP
One Protocol. Every Agent.
Claude, GPT, LangChain, CrewAI — framework-agnostic. Coming soon.
The Architecture Is Broken
These aren't isolated incidents. They're structural. Your data infrastructure was built for humans querying databases — not autonomous agents making thousands of requests per hour. Every API call is ungoverned. Every pipeline is unverified. Every access control is an assumption, not a proof. As you deploy more agents, the attack surface grows exponentially.
Explore Our Solution“Hope is not a compliance strategy.”
The Trust Gap
You can't audit what you can't verify.
Every Pipeline Verified. Every Access Controlled. Every Agent Evaluated.
ConceptDB is the verified data layer that proves your governance works.
Verified Pipelines
Every Pipeline Proved Correct
ConceptDB keeps an organized, searchable copy of your entire data footprint — always current. Paste in API docs and a key: integration built. Drop in CSVs, PDFs, spreadsheets. Your agents query this verified copy, never your production systems. Fix a handful of mappings. ConceptDB learns the pattern and proposes corrections for the rest.
- Paste in API docs — integration built for you
- Agents query the copy, not production
- Schema changes caught at compile time, not at 3am
Verified Access
Every Permission Proved Correct
Your AI agents don't get to browse your databases directly. That's like letting a stranger rifle through your filing cabinets. ConceptDB agents are librarians — they sit between your AI agents and every data source. Every request is checked. Every access is logged. RBAC isn't bolted on. It's built in.
- Composable access policies
- Every request verified before execution
- Audit trail for every data access
Verified Evaluations
Every Agent Proved Compliant
Label 50 agent runs: 30 good, 20 bad. ConceptDB learns what distinguishes them — 'always resolves the issue,' 'never accesses restricted records,' 'completes in under 50 steps.' Verified, composable rules you can inspect and version-control. Not a loss curve. Not 'we think it's fine.' Proof.
- Symbolic, inspectable rules — not neural reward models
- Composable with access and pipeline rules
- Auditable compliance evidence
ConceptDB vs. Status Quo
Agent Data Access
Today:
Your agents make raw API calls with no governance. No way to prove what data they access. SOC2 auditors ask questions you can’t answer.
With ConceptDB:
Librarian agents verify every request. Every access logged and auditable. Proved correct, not tested and hoped.
Data Integration
Today:
You write custom integration code for each data source. Every schema change is a fire drill. Your backup is stale or nonexistent.
With ConceptDB:
Paste in API docs and an API key. ConceptDB builds the integration, keeps a live copy, and stays in sync automatically. Schema changes caught at compile time.
Data Portability
Today:
Locked to one vendor. Proprietary formats. Switching means a migration project.
With ConceptDB:
Parquet on any cloud. Time travel over every version. Unlimited zero-copy branches. Switch vendors whenever you want.
How It Works
ConceptDB agents are librarians of your data infrastructure. They sit between your AI agents and every data source — verifying every request, enforcing access policies, and logging every interaction. Paste in API documentation and a key — ConceptDB builds the integration, maintains an organized and searchable copy of your data, and keeps it in sync automatically. Drop in documents, spreadsheets, raw files — structured or not. Fix a few results and ConceptDB learns the rules that generalize your intent.
“Your agents query the verified copy — never your production systems.”
Today: connect via the desktop app or REST API (docs). Coming soon: MCP server for one-protocol access across every agent framework.
Contact us to learn moreThree steps to verified data access
1. Paste in API docs + a key — integration built
2. Fix a few results — rules learned for all
3. Every request verified. Every pipeline proved correct.
Technical Details
In ConceptDB, pipelines, permissions, and evaluations are the same kind of object — they compose the same way. Change an access policy and ConceptDB identifies every pipeline and evaluation rule that depends on it. This composability comes from category-theoretic foundations — the same mathematics that guarantees program correctness in typed functional programming.
Correct-by-construction pipelines: Pipelines are typed morphisms. If the types compose — if it compiles — the transformation is guaranteed to preserve the schema contract. Proved correct, not tested and hoped.
Rules learned, not written: Induced from corrections, not hand-coded. Rules are inspectable, version-controlled, and diffable — not opaque model weights.
Symbolic evaluation rules: Agent evaluation criteria are symbolic, recursive, and inspectable — not neural reward models. Composable with pipeline and access rules.
The Data Platform
Synchronized data layer: Always-current, query-optimized replica of your data footprint — organized, searchable, and versioned. Batch sync on configurable schedules, event-driven streaming via webhooks and change data capture. Freshness timestamps on every result.
Open Lakehouse: Full version history of every table. Unlimited zero-copy working copies — no data duplication. Branch, merge, and diff your data like code. Data serialized as Parquet on S3, Google Cloud, Azure, or local disk. Switch providers without migration.
MCP-native agent gateway (coming soon): Deploy as a Model Context Protocol server. Claude Code, OpenAI Assistants, LangChain, CrewAI — one standard protocol. Composable RBAC policies gate every request.
Policy verification: sub-millisecond per request. Query execution: columnar processing over millions of rows.
Built on DataFusion (vectorized SQL), Apache Arrow (columnar memory), Delta Lake (ACID storage), and LanceDB (vector search).
Request Flow
AgentMCPConceptDBRBAC checkQuery planExecutionVerified resultIs This For You?
From solo researchers to enterprise AI deployments — ConceptDB scales from your laptop to your production stack.
For Individuals
You're a researcher with 40GB of papers, datasets, and notes. You want to ask questions across all of it. ConceptDB runs on your laptop — no cloud, no subscription, no vendor. Drop in anything. Time travel through your analysis. Branch experiments without copying data. It's yours.
- Runs entirely on your desktop
- Drop in any data — structured or not
- Time travel and branching built in
For AI Teams
Deploy ConceptDB as the verified data layer for your agents. Paste in API docs — integration built. Always-current copy, syncs automatically. Librarian agents proxy every request. RBAC and audit trails from day one.
- Always-current copy — stays in sync
- Every access verified and logged
- Agents query the copy, not production
For Compliance
Prove your pipelines are correct. Prove your access controls work. Prove your agents follow policy. ConceptDB gives auditors what they actually want: evidence, not promises. Parquet on any cloud. Vendor-portable audit trails.
- Provably correct pipelines and RBAC
- Complete audit trail for every request
- Switch clouds without losing history
Other systems hope their pipelines are correct. ConceptDB proves it.
Get early access. Paste in your API docs. Every pipeline verified. Every access controlled. Every agent evaluated. Open formats. Any cloud. If it compiles, it's correct.