Start a conversationProfile Intelligence Platform
From a single email, phone number, or name to a rich person profile, with optional AI discovery of public insights the enrichment record does not already contain.
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Identifier types accepted
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Steps: enrich then discover
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Public API for integrations
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Database required for MVP
Sales, recruiting, marketing, and research teams often start with almost nothing: an email, a phone number, or a name. Getting from that identifier to a usable profile usually means manual searching across disconnected tools. Sagentics designed and built a focused MVP that enriches contacts from trusted data sources, optionally discovers new public information with citations, and exposes the same enrichment through a public API for downstream products.
The Challenge
Teams waste time stitching together incomplete profiles from multiple tools
Static enrichment alone misses useful public context that appears after the record is built
The product needed an API so other systems could consume the same data as the dashboard
Third-party services fail or slow down. The experience still had to feel dependable
The brief was to ship fast, keep credentials server-side, and leave a clean foundation for accounts, billing, and persistence later.
The Solution
A simple two-step experience. First enrich. Then, once a clear identity is confirmed, optionally discover. Both the dashboard and the public API share the same enrichment rules so integrations stay consistent.
Enrich from what you have
Enter an email, phone number, or name with optional company, location, or school details. Receive a structured profile with experience, education, skills, and social links.
Discover what enrichment misses
An AI pass searches the public web, filters for the right person, and returns only new insights with source citations and confidence indicators.
API-first from the start
A versioned public endpoint returns the same enrichment payload for CRMs, outreach tools, and internal workflows.
Resilient under real conditions
Multiple search providers, timeouts, size limits, and graceful fallbacks keep requests predictable when external services misbehave.
What Users See
Scannable profile cards
Identity, professional history, skills, education, and social links rendered clearly for non-technical researchers.
Cited discovery results
New facts arrive with sources and confidence badges so teams can verify before acting.
Progressive disclosure
Discovery stays a deliberate second step after enrichment confirms a full name, reducing noise and false matches.
Integration-ready delivery
Optional API key auth and cross-origin support so other products can embed enrichment without visiting the dashboard.
What Changed
- Users go from a bare contact identifier to a usable profile in seconds.
- Discovery surfaces public-source intelligence that enrichment alone cannot provide.
- The same enrichment powers both the interactive dashboard and external integrations.
- A lean MVP validates market fit without locking the product into heavy infrastructure.
Why It Worked
Scoped ambition Enrichment, discovery, and API were clearly separated so the MVP stayed shippable.
Identity-aware filtering Shared names are common on the public web. Profile anchors reduce false matches before analysis runs.
Novelty-aware AI The model is asked for what is new, not a rewrite of data the user already has.
Production patterns early Server-only credentials, shared validation, and graceful degradation make the MVP a foundation, not a throwaway.
Ambitious multi-system products do not have to ship as fragile prototypes. Sagentics turns enrichment, discovery, and API design into a cohesive MVP that analysts and developers can both use, with a clear path to grow once the market says yes.