quarterback ai · v1.0 · live
/// agentic orchestration

// knowledge + data intelligence

Your data
is talking.
Are you listening?

One orchestration layer for the knowledge your people write — contracts, wikis, tickets, email — and the numbers your systems generate — metrics, ledgers, time series, models. Reasoned over together. Cited every time.

// 01 / the platform

Knowledge and numbers, made accountable.

vec[0.82, -0.14, 0.61] · drag to warp

L1 // ingest

Documents and datasets, side by side

Contracts, wikis, email, chat, tickets, shared drives, docs, spreadsheets, code repos — alongside warehouses, databases, object stores, data lakes, and BI extracts. Knowledge and numbers ingested with provenance attached at the byte and row level.

L2 // ground

Vector + graph + lexical + tabular

Hybrid retrieval across embeddings, knowledge graphs, BM25 keyword search, and structured SQL over your warehouse. Unstructured prose and quantitative tables resolved through the same query — re-ranked by domain models trained on your corpus.

L3 // orchestrate

The quarterback layer

Specialist agents call specialist agents — a research agent reads the policy, an analyst agent runs the numbers, a reviewer agent reconciles them. The QB routes work, manages context, and refuses to answer when confidence is low.

L4 // deliver

Cited or it didn't happen

Every claim points back — to a paragraph in a contract, a row in a ledger, or a cell in a model. Reviewers approve in-place. The audit trail is the answer, not an afterthought.

// 02 / signal & noise

From documents and dashboards in silos
to one grounded answer.

Knowledge management and quantitative analysis, unified. A policy paragraph and a ledger row resolve into the same cited answer — every claim traceable, no black boxes. Move the cursor to resolve.

Unstructured documents resolving into a structured grid of cited facts
resolving // 15%
1.8m docs · 312m rows · 47.2tb
grounded · cited to source line + row

Docs

knowledge corpus per domain

Rows

structured data unified

100%

answers cited to source

Accelerated

median hybrid query

// 03 / market position

The empty quadrant.

Enterprise-grade rigor on a quarter-long timeline. Nobody else sits where we sit.

time-to-value →
← enterprise rigor
consumer
slow + heavy

General-purpose chat

horizontal

Consumer notebooks

consumer-grade

Enterprise search

retrieval-only

Vertical copilots

narrow domain

Heavy data platforms

18-month deploy

Lakehouse AI

platform

Quarterback AI

90-day deploy · audit-ready

// 04 / track record

Twenty-five years
calling plays.

This is not a first rodeo. The same person who built data and intelligent systems for innovative companies is building this one.

log // career.signal
2000

// M.Sc + United States Olympic Committee

Accurate athletic performance systems

Rewrote laboratory methods and error analysis to improve accuracy and precision of athletic performance data. Methods still used today in sport assessment products.

2005

// Adidas

Intelligent shoe launched

Collected, analyzed and curated millions of data points to engineer feedback loops that improved the next version of the product. Learned what 'grounded' and 'clear communication' mean when manufacturing costs are on the line.

2008

// Blur Sports

Novel skate sensing system

Created sensor system, data system and actionable data to uncover hockey players' skating mechanics and performance.

2015

// XCO Tech

World-leading precision tracking

Established a wearable technology company, architecting its data infrastructure, proprietary algorithms, and go-to-market strategy to deliver clinical-grade movement, cognition, and biometric assessments for the sports and healthcare sectors.

2020

// Recon Health

All-in-one biometric wearable health patch

Formed a joint venture with an AI-on-a-chip semiconductor company to deliver an all-in-one biometric health patch for remote patient monitoring and assessment of neurological, cardiac, frailty and musculoskeletal health conditions.

2023

// Exos @ Google

Innovative multi-modal Gen AI systems

Vision AI and LLM research for fitness applications, plus product development and rollout of new AI-driven features in a digital fitness platform.

2026

// qb · founded

Quarterback AI

Delivering transformational AI systems to SMEs and large enterprise innovation teams. Filling the gap between consumer-grade 'LLM notebooks' and 18-month enterprise platform rollouts.

// 05 / start the play

Ninety days
from documents and data to decision.

We deploy on your knowledge bases and your warehouses, in your environment, behind your perimeter. No data leaves. No demos. Just a working system in 90 days.

Read the architecture brief