About ReasonSpring
The missing piece is not a better model. The missing piece is infrastructure.
Why We Built This
AI models are fluent. They are confidently wrong at the specific work that real delivery requires: researching live sources, computing auditable numbers, remembering client context across sessions, and validating every claim against evidence.
We built AI-first infrastructure — databases, computation engines, knowledge graphs — designed from day one to have the AI model as the natural language interface. A financial advisor speaks in plain English. The AI translates the request. Behind it, a database remembers every prior interaction, a computation engine produces numbers that trace to their inputs, and a graph system tracks how clients, preferences, and context connect.
Nothing resets between sessions. Client preferences, editorial decisions, and accumulated intelligence persist. The AI provider is interchangeable. The infrastructure — and the intelligence it accumulates — belongs to the organization.
How It Works
Live Research
Every episode is grounded in live web research with cited sources — not training data, not vibes.
Locked Narrative
The system builds a narrative outline first, locks it into the database, then writes dialog from the locked outline. The AI cannot contradict itself halfway through.
Auditable Computation
When content includes figures, a dedicated computation engine produces them. Every number traces to its expression and inputs. A compliance team can audit every figure.
Persistent Intelligence
Client preferences, show history, and editorial decisions accumulate across sessions. Nothing resets. The fortieth briefing knows what worked in the first thirty-nine.
The Team
Alan Eyzaguirre
Led product marketing for Apple Keynote and iWork. Product leadership at PayPal and Cisco.
Erika Wykes-Sneyd
Former CMO at Adidas Originals. VP Marketing at Uber. VP Brand at PayPal.
Dave Skaff
Founded and scaled Geologie. Operations leader behind ReasonSpring.