Raw data transformed into sales-ready intelligence.
PersanaAI helps sales teams enrich leads with data from 75+ sources using AI agents. Pinnasys built the intelligence layer that achieves 95% enrichment accuracy and 3x qualified pipeline growth.
95%
Enrichment accuracy
3x
Qualified pipeline
The Problem
Sales teams are drowning in bad data and manual prospecting.
B2B sales teams spend an enormous amount of time on data: finding prospects, verifying contact details, researching companies, enriching CRM records, and qualifying leads. Most of this work is manual, repetitive, and error-prone.
PersanaAI set out to solve this by building a platform where AI agents handle the entire lead enrichment and qualification pipeline — pulling data from 75+ sources, verifying accuracy, finding tech stacks, discovering recent news, and writing personalised outreach.
The challenge was building AI agents that could enrich data at scale with consistently high accuracy — not 70% accuracy that creates more cleanup work, but 95%+ accuracy that sales teams can trust and act on immediately.
Our Approach
Build AI agents that research like the best SDRs on your team.
Pinnasys worked with PersanaAI to design and build a suite of AI agents, each specialised in a different aspect of lead intelligence. Rather than a single enrichment API that returns a flat data object, we built agents that think like sales researchers — finding company context, identifying relevant triggers, and connecting the dots across multiple sources.
The key technical challenge was maintaining high accuracy across 75+ heterogeneous data sources — each with different formats, reliability levels, and update frequencies. We built a confidence-scoring system that weights each source based on historical accuracy, recency, and corroboration from other sources.
The result: enriched lead data that sales teams trust enough to act on immediately, without manual verification.
Multi-source data enrichment agents
Specialised AI agents that search, extract, and validate data across 75+ sources — from company databases and news feeds to tech stack detectors and social profiles.
Confidence scoring & validation
Every enriched data point comes with a confidence score based on source reliability, recency, and cross-source corroboration — so reps know what to trust.
Persana agent — conversational research
Users ask the Persana agent natural language questions like “Find tech stack” or “Discover recent news” and get structured, actionable intelligence back instantly.
AI-powered email writing
Enriched data feeds directly into AI-generated personalised emails — using prospect context, company news, and role-specific pain points for each outreach.
The product in action
Raw data transformed into sales-ready intelligence.
95%
Enrichment accuracy
3x
Qualified pipeline
50%
Reduction in research time
2.5x
Improvement in conversion
VP of Sales — PersanaAI — Sales Intelligence Platform
Services used in this project
Three things that made this project work.
Accuracy is the product, not speed
Sales teams will wait an extra second for 95% accuracy. They will not use a tool that’s fast but wrong. Every architectural decision prioritised accuracy first, then optimised for speed within that constraint.
Confidence scores change user behaviour.
When reps can see that a data point has 98% confidence vs 72% confidence, they use the data differently. Transparency about data quality built trust faster than marketing ever could.
Specialised agents outperform general ones.
An agent that only finds tech stacks is dramatically better at finding tech stacks than a general research agent. We built narrow, deep agents and composed them into a broader intelligence system.
What this looks like when it's working.
The AI engine that turns cold emails into revenue
3x
Revenue growth
10x
Deals closed
Your digital workforce that never clocks out
168 hrs
Weekly capacity
4x
Human capacity
Have a similar challenge? Let’s talk.
Book a discovery call and we will discuss how AI can improve your data quality and sales intelligence — with realistic timelines and outcomes.