Every AI agent needs to know who the company really is.
Before your agent routes, prospects, scores, or expands an account, Delpha verifies the company, resolves the commercial parent, and returns a decision your agents can safely act on.
One MCP server. Three operations. Evidence on every call.
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A deterministic source of commercial truth.
The orchestrator is probabilistic — fluent, and confidently wrong some of the time. Delpha is the part of the stack that isn’t an agent: the deterministic primitive it calls when “confidently wrong” is unacceptable.
The model reasons.
- ✕One plausible answer from a single pass
- ✕Different answer if you ask twice
- ✕No evidence, no audit trail
- ✕Merges “Bolt (SF,USA)” with “Bolt (Estonia)”
Delpha knows.
- ✓Website-anchored identity, not name-matching
- ✓Same verified answer every time
- ✓False-positive-proof parent resolution
- ✓Evidence + confidence score on every call
Agents act on the wrong company.
CRM records can look clean while hiding wrong parents, missing subsidiaries and duplicates. Agents trust them — and act on the wrong commercial identity. The agent is not hallucinating. It is acting correctly on a company structure your CRM got wrong.
Mis-routing
A subsidiary inquiry lands as SMB — an agent quotes SMB pricing to a Fortune 500 subsidiary.
Channel conflict
Cold outreach fired into a live enterprise negotiation you were about to close.
Fragmented value
One global customer seen as four unrelated strangers — and treated like it.
Bad company identity used to be a back-office annoyance. The second an agent acts on it, it is a production blocker — and the reason enterprises won’t give agents write access.
The verification an agent calls before it acts on a company.
An agent needs two things correct rather than plausible: who a company actually is, and how to treat it commercially — the effective sales parent, the buying center, the cross-border links. Legal structure tells you who owns the business; commercial identity tells an agent how to treat them.
Input principleThe input is always your own record. Delpha verifies its validity and accuracy against external reality, then returns the verdict with evidence and the correction. Anything added arrives as evidence or as a correction — never as a feed.
DisciplineWebsite-as-identity, not name-as-identity. Matching on company name is how CRMs merge Bolt (SF, USA) with Bolt (Estonia). Delpha anchors every entity to its validated website, then resolves the commercial parent against that key.
A decision your agents can safely act on.
Model-agnostic. MCP-native. Cross-platform — one shared Credit balance across MCP, API, the online app and batch file upload.
Run this resolution yourself →Two proofs the engine has judgment.
The LLM does one job: external identification. Around it, exact reconciliation logic works on your real CRM data — website-anchored matching, false-positive prevention, hierarchy repair. Two examples:
Bolt — the false-positive trap
Identical names, different companies. Delpha refuses the merge and creates the bolt.eu parent — two accurate trees, not one wrong merge. Same name ≠ same company — caught before the merge.
Meta — M&A-triggered expansion
Your customer acquires a company; Delpha re-parents it overnight and the agent flags the cross-sell before a rep has read the press release. A stale tree repaired overnight — no human touch.
Revenue first. Savings follow.
- White space revealed. One corrected group view exposes the unpenetrated subsidiaries — the expansion pipeline that is invisible today for 2 in 3 accounts.
- Enterprise deals protected. One coordinated motion per corporate group; no cold outreach into live negotiations.
- Group-level routing & deal sizing. Subsidiary inquiries reach the enterprise owner, priced at group value — not SMB.
- Commission integrity. No new-logo commission paid on subsidiaries of existing customers.
- M&A-triggered expansion. Re-parented overnight; the cross-sell flagged before the press release is read.
Three operations. One MCP server.
Plug Delpha into any agent — Claude, GPT, Gemini, LangChain, your own stack — via MCP, or call the REST API directly.
- identify_company
Anchor an ambiguous name, domain, or CRM record to a verified company identity — on the website, never the name.
- resolve_commercial_parent
Return the commercial parent that matters for GTM — not the legal holdco, not a shell entity.
- validate_hierarchy_decision
Verify a proposed parent-child relationship is safe to act on, with confidence and rationale.
The moat sits after the model.
Concede firstThe parent data is not the moat. We use LLMs for identification and would swap models tomorrow; the base graph is commodity. The moat is four assets the model cannot own:
- Deterministic reconciliation engine. Website-as-identity, false-positive prevention, Golden Record logic, orphan and legacy handling. No LLM inside — years of edge-case engineering a competitor must rebuild from scratch.
- Closed-loop correction data. Every reconciliation decision inside a live CRM — propose, merge, refuse — confirmed or corrected. Labeled edge cases that exist nowhere public. We own the only pipe that produces this data — and every account widens it.
- The attestation ledger. Every attested action accumulates into the evidence trail your auditors have accepted. Leaving means re-litigating every resolved decision.
- Enterprise trust. SOC 2. No customer data stored, isolated from training. Write-back trust — earned per customer, over years.
Data providers return records. Orchestrators run workflows. Delpha verifies the company before the workflow acts.
Delpha does not replace your data providers or your agent platform. It verifies the company identity and commercial hierarchy they rely on, using the incoming record, your existing account structure and traceable evidence.
| Data providers | AI research & orchestration | Delpha | |
|---|---|---|---|
| Primary job | Supply company and contact data | Research and execute GTM workflows | Verify company identity before action |
| Starting point | Search criteria or submitted identifier | Prompt, workflow or input record | The actual record plus existing CRM context |
| Identity handling | Match against the provider’s database | Infer from available sources | Anchor the record to the verified company website |
| Hierarchy output | Stored legal or corporate hierarchy | Synthesized answer from tools and web sources | Commercial parent appropriate to the GTM decision |
| CRM reconciliation | Usually enriches or appends data | Configurable workflow logic | Validates against and repairs the existing account hierarchy |
| Decision output | Data fields | Workflow result | Verdict, confidence, rationale and evidence |
| Best used for | Obtaining reference data | Automating research and execution | Before routing, prospecting, pricing or expanding |
Won’t the foundation models just do this?
No — the better the model gets, the more it needs a verifier before acting.
- Access. Where enterprise CRM data is wrong exists only inside private CRMs. Models train on the public web.
- Demand. A better model is a faster actor — every action needs a verified commercial identity. Frontier models are our demand curve, not our competitor.
- Governance. The actor can’t be its own auditor.
- Liability. Attestation means signing your name to a verdict. Labs monetize tokens; they won’t sign the audit letter.
- Symbiosis. MCP ships us into every improved agent. We’re long the models.
Where this goes.
- NowThe wedge
Verification over MCP: parent resolution and identity checks, agent-callable. Live, metered, in production CRMs today.
- NextTrusted write authority
Attestation — evidence, reproducibility, rollback — that lets enterprises grant agent fleets write access.
- End stateThe trust authority for agent-to-agent B2B
When two companies’ agents transact, Delpha is the neutral attestation both sides accept.
Plaid verified bank accounts so money could move online. Delpha verifies companies so agents can transact in B2B.
Give your agents the permission to act.
Verified commercial identity on every call — verdict, evidence, confidence.