Agents will act on companies. Something has to verify the company first.
Delpha is the deterministic source of commercial truth for AI agents. Here is why that matters, and why a better model alone won't solve it.
Structural hallucination in AI agents.
An agent reasons perfectly — on the wrong company.
The error isn’t in the model. It’s in the structure of the data it acts on: a subsidiary filed as a new logo, two companies called Bolt merged into one, a parent that changed last year.
Nothing looks wrong, so nothing stops the agent.
A verified company decision your AI 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 →- 1
Anchor on website
The validated domain is the identity key — never the company name.
- 2
Identify company + parent
Resolve the company, then walk the ownership chain to its commercial parent.
- 3
Reconcile vs CRM
Compare against your record: confirmed, conflicting, or a missing link.
- 4
Verdict + evidence
A confidence score, the evidence behind it, and whether it is safe to act.
A deterministic source of commercial truth for AI agents.
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
Different jobs. More valuable together.
The company verification an AI agent calls before it acts.
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.
Two proofs Delpha resolves company groups with 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.
Verified company groups: 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.
data‑maintenance productivity
migration cost
net sales productivity
correction ships with audit-ready evidence
Data providers return records. Agent orchestrators run workflows. Delpha verifies the company before the AI agent 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 foundation models verify companies on their own?
The better the model gets, the more it needs a verifier before acting.
- 01Access
Where enterprise CRM data is wrong exists only inside private CRMs. Models train on the public web.
- 02Demand
A better model is a faster actor — every action needs a verified commercial identity. Frontier models are our demand curve, not our competitor.
- 03Governance
The actor can’t be its own auditor.
- 04Liability
Attestation means signing your name to a verdict. Labs monetize tokens; they won’t sign the audit letter.
- 05Symbiosis
MCP ships us into every improved agent. We’re long the models.