Less guesswork between the surface and the reservoir.
InLabs designs AI tools for U.S. upstream oil and gas operators, starting with seismic interpretation, drilling risk and well design, and access to legacy subsurface data.
InLabs LLC · Houston, Texas · Founded July 2026
Three product areas
Agentic seismic-interpretation workflow
AI agents that connect existing interpretation tools and automate repetitive steps, with the interpreter reviewing and deciding.
Pilot discussions
Drilling-risk analytics and AI-assisted well design
Early risk indicators from drilling data and well-design scenario comparisons, with human approval and an audit trail.
Planned
AI-driven subsurface data import and semantic search
AI agents that clean and import legacy data, with plain-language search that shows its sources.
Planned
Practical AI, built to be trusted.
New AI methods arrive faster than most technical teams can test them. We focus on the ones that hold up and design tools that fit existing workflows, so engineers can reduce uncertainty, improve safety and shorten technical cycles, with the engineer always in the loop.
How our tools are designed
- Engineer in the loop: outputs are explainable and reviewable; the expert decides.
- Fits your workflow: we aim to work with the data and applications your teams already use.
- Generative AI where it helps: for example, summarizing reports and querying technical archives, with sources shown.
- Your data, your control: client data stays under the client's control by design.
Build it with us
We are looking for a small group of upstream teams who know exactly where their workflows hurt, to shape our first tools with us. Design partners get a direct line to the founder and a say in what gets built first.
About the founder
Serhii Honcharuk is the founder and sole managing member of InLabs LLC. He is an information technology engineer and executive with more than twenty years of software-delivery experience, the last twelve in oil and gas.
Contact
Tell us about the problem you are trying to solve. Email info@in-labs.com. A short description of your goal, your role and your timeline is plenty. Please do not send confidential data in a first message.
InLabs LLC · Houston, Texas.