Skip to main contentSkip to main content
About

About Seismic Swift AI

We build the AI platform that energy companies trust to interpret seismic data, monitor carbon storage, and make subsurface decisions at machine speed — with the audit trail and compliance architecture that institutions require.

Our Mission

Build the institutional-grade platform that makes subsurface intelligence accessible, auditable, and fast.

The subsurface holds the answers to the energy transition — where to store carbon, where to develop geothermal, where to produce responsibly. The interpretation technology that unlocks those answers has not changed fundamentally in thirty years. We are changing it.

Our Story

Founded in Houston, built for the energy transition

Seismic Swift AI was founded in 2023 by Dr. Sarah Chen and Marcus Andersen in Houston, Texas — the center of gravity for global energy operations. Sarah had spent her career at a top-3 oilfield services company watching geophysicists drown in manual workflows while the industry faced its most important decade. Marcus had spent nine years building distributed infrastructure at Microsoft Azure at a scale and reliability standard the energy industry had never seen applied to seismic processing.

The founding thesis was precise: the energy transition requires faster, cheaper, and more auditable subsurface decisions. Manual seismic interpretation cannot meet that demand. Neither can black-box AI. What was missing was an institutional-grade platform that combined state-of-the-art machine learning with the compliance architecture, audit controls, and data sovereignty guarantees that enterprise energy operators require.

The team grew by recruiting geophysicists who had personally felt the pain they were solving. The VP of Geoscience is a former Chief Geophysicist at a leading North Sea operator. The VP of Machine Learning published his doctoral thesis on the graph convolutional network architecture that runs inside our autotracking engine. The VP of Engineering built payment infrastructure at a top-5 fintech unicorn. Every person on the team joined because they believed this problem was genuinely important.

Today we operate across multiple regions, serve operators from the Norwegian Continental Shelf to the Gulf of Mexico to the Santos Basin, and maintain the engineering discipline — 20,000+ automated tests, 500+ runtime contract assertions, SOC 2 Type II — of a company that knows its customers cannot afford to get the subsurface wrong.

Values

Four principles we do not compromise

Every line of code, every model we ship, and every customer engagement is guided by the same four principles.

Scientific Rigor

Every model is benchmarked against cited baselines. Every algorithm carries a DOI reference. 80+ peer-reviewed citations inform our codebase, and every release is guarded by 500+ Design-by-Contract assertions that enforce scientific invariants at runtime.

Institutional Trust

SOC 2 Type II controls are baked into the architecture — not bolted on after the fact. Every write is audit-logged with a SHA-256 integrity chain. Tenant isolation enforces data boundary compliance across all operations. We treat security as a first-class engineering discipline.

Operational Excellence

A 99.97% actual uptime record is not an aspiration — it is a trailing 12-month measured fact. 20,000+ automated tests guard every release. Our streaming volume processing handles 50 GB surveys with under 8 GB peak memory. We hold ourselves to the reliability bar of financial infrastructure.

Zero Lock-In

Your data exports in SEG-Y, LAS 3.0, GeoTIFF, and PDF. Our metadata is OSDU R4-conformant. We do not hold seismic data hostage. Customers own their models, their interpretations, and their audit history — and can take all of it with them at any time.

By the Numbers

Engineering quality is not negotiable

We publish these numbers because we believe our customers deserve to know what runs under their data.

20,000+

Automated tests passing

0 failures

Extensive

Production codebase

Greater than 1:1 test ratio

80+

Peer-reviewed citations

DOI-traceable

500+

Design-by-Contract assertions

Runtime enforcement

0

Data breaches

Since founding

99.97%

Actual platform uptime

Trailing 12 months

History

Company timeline

From three engineers with a thesis to a venture-backed company operating across four continents.

2023 Q1Founded

Founded in Houston, TX by Dr. Sarah Chen and Marcus Andersen. Venture-backed by leading energy and deep-tech investors. Three engineers, one conviction: subsurface interpretation should be fast, auditable, and accessible to every operator — not just supermajors.

2023 Q3First Product

First working prototype: 3D U-Net denoising on Azure AKS, with automated HITL review and SEG-Y export. 200 automated tests from day one. The team believed test coverage was a scientific responsibility, not a process overhead.

2024 Q1Series A

Series A backed by leading energy-focused and deep-tech venture firms. The 11-service event-driven platform architecture launched — orchestrator, governance, ingestion, HITL review, denoising, autotracking, anomaly detection, and export. Team expanded rapidly across Houston and beyond.

2024 Q3Enterprise

SOC 2 Type II certification achieved. First three enterprise customers onboarded — a North Sea E&P, a Gulf Coast CCS operator, and a geothermal developer. The audit chain and data residency architecture proved decisive in each procurement.

2025 Q1CCS Launch

CCS monitoring suite launched: Gassmann fluid substitution, Monte Carlo uncertainty quantification, and automated EPA Class VI compliance reporting. OSDU R4 integration complete. 15,000+ tests across the platform.

2025 Q3Series B

Series B led by leading energy-focused and deep-tech venture firms. Team reached 45 across Houston and international offices. Foundation model research program launched. Operations active across North America, Europe, and South America.

2026Today

20,000+ tests. 847 surveys processed. 12,000+ pipeline jobs completed. 99.97% actual uptime across multiple regions. Building the foundation model strategy for zero-shot seismic interpretation. The mission remains unchanged.

Headquarters

Where we are

Houston, Texas — the energy capital of the world. Close to our customers and at the center of the energy transition.

Houston, Texas

United States

Seismic Swift AI, Inc.

1200 Post Oak Boulevard, Suite 700
Houston, TX 77056
United States

Houston

HQ

Oslo

North Sea

London

UK & Europe

We operate on a hybrid model. Most of our engineering team works remotely across North America and Europe, with office hubs in Houston, Oslo, and London for customer meetings and team sprints.

Join Us

We are building something important

If you have built distributed systems, trained seismic ML models, or sold enterprise software into energy companies — we want to talk.