Custom Tools Built by Geophysicists Who Code

Most picking shops can't build software. Most software shops don't understand geophysics. We sit at the intersection — a team of full-stack developers who have spent careers working with SEGY data, borehole arrays, and subsurface workflows.

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TEAM COMPOSITION20 SPECIALISTS
7 Geophysicists
5 Data Engineers
4 AI/ML Specialists
4 Full-Stack Devs
Every software project includes a geophysicist in the spec and review loop — not as a consultant, but as a team member.
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Domain-Embedded Developers
Our developers attend pick review sessions. They understand P/S arrival timing, move-out physics, and why a 2ms variance threshold matters. That context produces tools that actually fit the workflow — not tools that require workarounds.
Built Alongside the Workflow
We don't build tools then hand them off. Every piece of software we deliver was built to solve a problem our picking team encountered — which means it's tested by real geophysicists before it reaches you.
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Your Stack, Your Standards
We don't impose a preferred tech stack. If you need something that integrates with your existing Petrel workflows, runs on your on-prem servers, or exports in a specific QC format — we build to your specification.

What We Actually Build

Four capability areas — each underpinned by geophysical domain knowledge that generic software contractors can't match.

01 / 04
QA/QC Dashboards & Event Visualization

Interactive tools for reviewing, validating, and signing off borehole microseismic event picks. Built for geophysicists — not general data analysts.

  • Channel-by-channel pick review interface
  • Move-out overlay against client velocity model
  • Batch sign-off with named senior audit trail
  • QA/QC report auto-generation (PDF/CSV)
  • Correlation statistics vs reference picks
02 / 04
Field-to-Office Data Pipelines

Automated ingestion-to-delivery pipelines that handle format normalization, processing routing, and delivery scheduling — without manual handoffs.

  • SEGY / SEG-D ingestion and format normalization
  • Automated pre-conditioning routing
  • Scheduled delivery at client-specified UTC time
  • AWS / Azure cloud archive architecture
  • Multi-survey attribute unification
03 / 04
Real-Time Event Monitoring

Live event visualization interfaces built for operations engineers — no geophysics background required to interpret outputs and act on alarms.

  • Spatial map with wellbore geometry overlay
  • Magnitude classification and color-coding
  • Configurable alarm thresholds + SMS/email routing
  • <30s event-to-dashboard latency via WebSockets
  • Queryable historical event archive
04 / 04
ML Model Development & Integration

Custom machine learning models trained on your data, aligned to your picking style — not generic pre-trained classifiers adapted from unrelated datasets.

  • Client-specific event classification models
  • Human-in-the-loop annotation architecture
  • SNR enhancement and noise suppression models
  • Model performance dashboards and drift monitoring
  • Integration with existing picking workflows

Software Built by 9 Specialists

The software and data engineering functions at Veritas Seismic are staffed by 9 specialists — 5 data engineers, 4 full-stack developers — all of whom work directly alongside the 7-person geophysics team.

4
Full-Stack Devs
React, Node.js, Python, WebGL, WebSockets
5
Data Engineers
SEGY/SEG-D, cloud pipelines, data warehousing
4
AI/ML Specialists
Event classification, noise reduction, HITL annotation
7
Geophysicists
Embedded in spec, review, and acceptance testing
Why Domain Embedding Matters
A developer who has never sat next to a geophysicist reviewing picks will write a dashboard that makes sense to a software engineer — but not to the person who will use it at 03:00 UTC during an active frac stage.

At Veritas Seismic, every software deliverable is spec'd, tested, and accepted by the geophysicists who will use it or who understand what it represents. There are no translations between technical and domain teams — they are the same people.

The Stack We Build With

We are not tied to a proprietary platform. We build with best-in-class open tooling and integrate with whatever your existing infrastructure requires.

Frontend
React / Next.js
WebGL / Canvas API
D3.js (visualization)
WebSockets (real-time)
Backend & APIs
Python (data processing)
Node.js / Express
FastAPI (ML serving)
PostgreSQL / TimescaleDB
Cloud & Data
AWS S3 / Lambda
Azure Blob / Functions
SEGY / SEG-D parsers
Apache Parquet / Arrow
ML & Analytics
PyTorch / TensorFlow
scikit-learn
Label Studio (HITL)
MLflow (experiment tracking)

From Conversation to Deployed Tool

We don't do waterfall. We do short discovery cycles with embedded domain feedback — so what we ship matches what your geophysicists actually need.

01
Discovery Call
We map your workflow, pain points, and existing stack. A geophysicist from our team joins every discovery call — not just a developer.
02
Scoped Proposal
We return a written spec with timeline, milestones, and deliverable definitions. No vague SOWs — every feature is named and acceptance criteria are explicit.
03
Build with Review Gates
We build in 2-week cycles with a working demo at each gate. Your geophysicist reviews — not just your project manager. Changes are absorbed, not quoted separately.
04
Deployment & Handoff
Full deployment to your environment, documentation, and a knowledge transfer session. Post-launch support available under the Retainer + Software engagement model.

Have a Workflow Problem We Could Solve?

Tell us what's broken. We'll tell you honestly whether we can fix it and how.

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