Brian Handrigan

The problem grāmatr was built to solve

Every company Brian built faced a version of the same architectural gap: information that should have connected did not, context that should have carried across systems disappeared at the boundary, and the people responsible for outcomes had no record of how decisions were made.

Co-browsing at Recursive Labs was about collapsing the gap between what a support agent saw and what a customer saw — two screens, same session, no context loss. Cross-media attribution at Advocado was about proving that a television impression caused a website visit — two systems, one identity, verifiable chain of causality. NEXT90 was about giving enterprise media teams the contextual intelligence to act on their own data, not a vendor's interpretation of it.

AI in the enterprise is the same gap at higher stakes. Models are powerful. They are also stateless, context-blind, and ungoverned by default. Every session starts from zero. Every output ships without a typed standard attached to it. Procurement cannot audit it. Legal cannot defend it. The board cannot verify it.

grāmatr is the layer that closes that gap — not by improving the model, but by reasoning before it fires. Intent classified. Governance directives applied. Quality gates set. Audit record written. The model executes. grāmatr decided.

Patents

Named inventor on 6 issued patents spanning co-browsing, online advertising coordination, call routing, and online-to-offline conversion tracking. Each patent solved a version of the same architectural problem: connecting information across systems that do not talk to each other. A patent application covering grāmatr's pre-model classification architecture is on file with the USPTO.

• US9256691B2 — Systems and Methods for Enabling Internet Co-Browsing Experience
• US10067729B2 — Systems and Methods for Enabling Internet Co-Browsing (continuation)
• US10067730B2 — Systems and Methods for Enabling Replay of Internet Co-Browsing
• US11544748B2 — Online Advertising and Promotional Coordination System
• US11790394B2 — Automatic Call Routing Using Anonymous Online User Behavior
• US12045853B2 — Online to Offline Conversion Tracking and Optimization

Speaking & conferences

• TechCrunch Disrupt SF Product launch — Traaqr 2017
• LeadsCon Las Vegas Speaker — Small Data & Offline Conversions 2018
• NYC Television Week Speaker / Panelist 2019
• Media Ad Sales Summit Panelist — Reinventing Measurement 2022
• DMEXCO Cologne Exhibitor 2023

Recognition

• Inc. 5000 Rank #556 — 1,056% three-year revenue growth (Advocado) 2023
• Pipeline Entrepreneurs Inspiration Award 2019
• LendingTree Startup Innovation Spotlight Finalist LeadsCon Connect to Convert 2017