AI Entity Enrichment PlatformTurn Your Unstructured Data into a Clean Information System
Feed it your documents, spreadsheets, images, and audio recordings — plus live web search and the knowledge of the world’s best LLMs. Competing models cross-check every field, an AI arbiter settles conflicts, and semantic IDs keep duplicates out. Structured, validated records in up to 40 languages at once — accurate data, not hallucinated fiction.
red fox in the garden?? rusty tail
From Raw Data to Information System
One pipeline takes whatever you have — documents, spreadsheets, half-filled rows — and returns records your database can trust.
Source
Bring a batch from your existing system — or a single new entity the moment it appears. Documents, images, web search, and LLM world knowledge fill what your data doesn’t say.
Structure
Describe your target in plain language or paste a sample — AI drafts a typed schema with expertise domains. Refine it visually or by chat.
Verify
Multiple models answer in parallel, per knowledge domain. Conflicts are detected field by field and resolved by rules or an AI arbiter — with the reasoning recorded.
Integrate
Validated records flow back with your original keys preserved verbatim and semantic IDs as stable join keys. No duplicates, no re-keying — up to 40 languages per field.
Two ways to feed it
Batch — from your existing system
Pull hundreds of entities from your database, CRM, or any REST endpoint — paste JSON or fetch a URL with auth. Enrich them in parallel, watch progress live, write clean records back — or export to Excel.
On the fly — as new entities arrive
A new lead, product, or document enters your system? Enrich it in seconds — one API call, an n8n/Make trigger, or straight from a chat via MCP. Structured, validated, ready to insert.
Both paths share the same semantic IDs — an entity enriched today in a batch and re-encountered tomorrow on the fly still lands on one record.
Every Value Has a Paper Trail
Most AI tools ask you to trust the output. We let you inspect how it was decided.
Pre-flight check
A fast model classifies the entity against your schema first. Enriching “Titan” as a planet? You’re warned before a single token is spent.
Models in competition
Two or more LLMs answer independently. Outputs are schema-validated; errors go back to the model to self-correct, automatically.
Arbitrated, recorded
Field-level conflicts resolved by majority, median, or an AI arbiter. Every decision — all candidate values, the winner, the reasoning — is stored on the record.
Acme Corp
Any entity: company, drug, legal case, research paper...
Match — Company
Catches type mismatches before wasting LLM credits.
Bring your own API keys — works with any LLM provider.
Schema split by domain — self-correcting prompts retry on validation failure.
Deep merge of expertise responses per model.
Acme Corp
ArbitratedReasoned field-level conflict resolution produces the final trusted result.
Eight defense layers stand between an LLM’s imagination and your database. How we prevent hallucinations →
Your Data, Your Models, Your Keys
Built for teams whose data can’t leave the building — cloud convenience with full control over where inference happens.
Bring your own API keys
Use your organization’s Anthropic, OpenAI, or Gemini keys — your billing, your data-processing agreements. Platform keys are just the zero-setup default.
Run models on your own hardware
Pair a laptop or on-prem GPU server in two minutes and route enrichments through a secure tunnel to your local Ollama. Sensitive data never reaches a cloud LLM.
How the tunnel works →Tenant-isolated by construction
Records, schemas, files, and concept registries are organization-scoped. Role-based access control down to each API key.
Organizations & roles →Why Entity Enricher
Purpose-built for structured LLM enrichment, not another B2B data vendor.
Plugs Into Your Information System
Built-inEnriched records drop straight back into your database. Your input keys are preserved verbatim, so every row still matches its source — and each entity gets a stable semantic ID: a ready-made join key that resolves “Headache”, “Céphalée” and “Cephalalgia” into one record, not three.
Opaque output on the vendor’s terms. You re-key, match, and reconcile by hand before it can touch your systems.
Custom Schema
You define the output structure. Any entity type, any fields, any nesting depth.
Fixed field sets. You get what they give you — 50 pre-defined B2B fields.
Multi-Model
Run 2+ LLMs simultaneously. Compare results. Use the best of each.
Single model, single provider. No way to cross-validate or improve accuracy.
Fusion & Arbitration
Field-level conflict detection with rule-based or LLM-arbitrated resolution.
Blind trust in a single source. No conflict awareness.
Any Domain, Any Entity
Legal entities, pharma compounds, research papers, real estate — anything.
B2B companies and contacts only. Step outside that box and you are on your own.
Multilingual by Design
Built-inMark a field multilingual once. A single enrichment call returns the value translated into every language you selected — up to 40 — with no extra LLM calls or translation pipeline.
English-only output. Translation is a separate step, a separate cost, and a separate failure mode.
Bring Your Own Documents
NewAttach PDFs, slides, spreadsheets, contracts, scans, audio recordings. Vision-, PDF- and audio-capable models read them directly; the rest are extracted server-side and inlined automatically.
Text-only inputs. Documents are your problem — convert, OCR, transcribe, chunk, and clean before you can enrich.
Cost-Optimized by Default
Built-inPrompt caching reuses the shared prompt across parallel calls at ~10% of input price, each expertise only sees its own fields, and a cheap pre-flight check stops you paying to enrich the wrong entity.
Flat per-record pricing with no token-level optimization — and no visibility into what you actually spent.
Works Where You Work
Design your schema once, then enrich at any scale — from the web app, from automated workflows, or straight from your own code.
Batch Enrichment
Enrich hundreds of entities in parallel from the web app. Real-time streaming, auto-fusion, Excel export.
n8n & Make Workflows
Automated pipelines: trigger on new data, enrich, push to your CRM or database. 400+ app integrations.
REST API
Programmatic access for custom integrations. Typed OpenAPI schema, org-scoped keys, sync and streaming endpoints.
Connect to 400+ apps via n8n
Build automated enrichment pipelines with n8n's visual workflow editor. Pull data from any source, enrich with AI, and push results anywhere.
Entity Enricher ships an embedded MCP (Model Context Protocol) server. List your schemas, enrich an entity, inspect the result — all from the chat. No workflow editor required.
Built for Every Domain
Not just B2B contacts. Define a schema for any entity type and enrich it.
How We Compare
Coming from an enrichment platform — or building your own LLM pipeline? Either way, here’s where Entity Enricher stands.
| Feature | Entity Enricher | Clay | Apollo / ZoomInfo | DIY LLM Pipeline |
|---|---|---|---|---|
| Custom Schema | Hand-coded | |||
| Multi-Model Enrichment | You orchestrate | |||
| Fusion & Conflict Resolution | ||||
| Semantic IDs (dedup) | ||||
| Arbitration Audit Trail | ||||
| Any Entity Type | ||||
| Self-Hosted Option | ||||
| API Access | ||||
| Batch Processing | You build it | |||
| CRM Integrations | Via n8n | You build it | ||
| Workflow Builder | Via n8n | |||
| Maintenance | Managed | Managed | Managed | Yours, forever |
| Pricing | Pay-per-token | $185-495/mo + credits | $49-249/mo | Eng time + tokens |
Backfill the past. Enrich the future.
Your company’s knowledge is already written down — make it queryable. Start free, bring your own API keys, and pay only LLM costs.
Get Started Free