The Momentum Story

Months to Milliseconds

We're building the intelligence layer for hydraulic fracturing — compressing the feedback loop from months of manual analysis to real-time, AI-powered decisions.

Our Origin

Born from a Blind Spot in Completions

The completions industry generates enormous volumes of pressure data — but most of it goes unanalyzed. Traditional transducers sample once per second at ±15 PSI accuracy. Between those readings, thousands of pressure events go completely undetected.

Momentum AI was founded on a simple insight: the data to make better completions decisions already exists — it just needs to be captured at the right resolution and analyzed in real-time.

We built a proprietary sensor platform that captures 40,000 samples per second at 0.002 PSI accuracy — then paired it with AI trained on thousands of real frac stages. The result is a system that sees what traditional tools miss and responds before damage occurs.

The Challenge

Tier 1 Is Depleting. The Game Has Changed.

As operators move into Tier 2 and Tier 3 acreage, the margin for error shrinks dramatically. The same frac hit that a Tier 1 well absorbs can break the economics of a Tier 2 well.

Productivity Plateau

Average Permian well productivity, normalized for lateral length, has largely plateaued. The era of easy gains from better rock is over.

Tighter Economics

Tier 2 and Tier 3 well economics are far more sensitive to variability. Any production loss from interference hits returns harder.

Reactive, Not Real-Time

Traditional approaches discover interference after the fact — through production declines or post-job analysis weeks later. By then, the damage is done.

Our Approach

What Makes Momentum Different

We don't just measure pressure — we've built the hardware, the AI, and the software to turn completions data into decisions.

Proprietary Sensor Hardware

Our non-intrusive, surface-mounted sensors capture 40,000 samples per second across the 0.1–20,000 Hz frequency range — revealing acoustic and pressure events invisible to traditional gauges.

AI Built on Real Completions Data

Our models are trained on thousands of real frac stages, not lab simulations. They detect fracture initiation, classify interference severity, and identify equipment issues in real-time.

Full-Stack Platform

Six integrated products covering real-time FDI detection, historical analysis, frac design validation, dart tracking, geovisualization, and screenout prediction — all sharing a common data backbone.

Non-Intrusive Deployment

No well intervention, no downhole equipment, no disruption to operations. Install on the treatment line and start capturing intelligence immediately.

Leadership

AI Researchers, Field Veterans, Enterprise Leaders

Momentum brings together DeepMind-trained AI engineers, drilling and completions operators, and executives who have scaled technology companies from startup to IPO.

Todd Haller

CEO

Sales executive with over 23 years of experience building and scaling territories, teams, and go-to-market strategies. Previously led a $2Bn North American sales organization. Three startups including one IPO.

Reid Thompson

Co-Founder & COO

Drilling and completions veteran with 15+ years of field operations and leadership experience. Previously Director of Strategic Planning at Legend Energy Services, where he shaped the company's technology strategy and built a real-time data platform for completions.

Scott Davenport

CTO

Technology leader with 23 years of experience at Google, Dell EMC, and ServiceNow. Proven track record leading automation and AI initiatives from concept through production deployment.

Jeff Rose

Co-Founder

One of the first research engineers at DeepMind, where he collaborated with neuroscientists on novel machine learning algorithms. Co-founded ThinkTopic and Spatial Logic, and has spent 20+ years building ML platforms — including projects delivered for intelligence agencies.

Jon Rose

Co-Founder

AI engineer with 10+ years of experience building production machine learning systems. Co-founded Spatial Logic and has developed computer vision models deployed in real-world field applications.

The Platform

Six Products, One Intelligence Layer

Every product shares the same high-resolution data foundation — so FDI events, frac performance, dart positions, geological context, and screenout prediction all live in one place.

F

FDai

Detects frac-driven interference in real-time and alerts your team before pressure damage occurs — protecting offset wells during every completion.

F

FDai Insight

Compresses 1,400 days of manual FDI labeling into 2, revealing which well spacings and designs drive the best outcomes across hundreds of projects.

F

FracScore

Validates every frac stage in real-time — instant feedback on cluster performance, screenout risk, and design efficiency as you pump.

B

BullsEye

Tracks darts in real-time using acoustic and pressure signatures, eliminating wireline confirmation runs and cutting NPT on every well.

S

StrataLink

Maps rock properties against completion performance and FDI risk, showing where stages will be difficult before you start pumping.

S

ScreenOut

Predicts screenouts before they happen using a machine learning model trained on thousands of labeled events from high-resolution pressure data.

Vision

The Path to Closed-Loop Completions

Our technology roadmap follows a clear progression toward fully autonomous completions optimization.

Phase 1Current

Feedback Loop Compression

Compress months of manual analysis into live detection. Identify fracture events, interference, and equipment issues as they happen.

Phase 2In Development

Real-Time Detection & Response

AI-powered detection systems that not only identify events but recommend optimal responses based on historical patterns and geology.

Phase 3Future

Closed-Loop Control

Automated completions optimization where AI systems adjust parameters in real-time based on continuous pressure feedback.

Join Us in Shaping the Future of Completions

Partner with Momentum AI to bring live completions diagnostics to your development program.

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