Intelligence, Grounded.

AI, data, and engineering for production-grade products.
We build with startups, scale-ups, enterprise teams, and research groups.

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50 Years Combined Experience
6 Industries
10 Enterprise & Scale-Up Clients

Worked With and Built With


Built From the Ground Up

Data at the base. Product at the top. Every layer engineered to run in production.

Everything above it is only as good as what it learns from.

  • Lakehouses
  • Pipelines
  • Warehouses
  • Data quality

The backbone — built to run, not to demo.

  • APIs
  • Cloud
  • DevOps
  • MLOps
  • Observability

Harnessed, evaluated, and fine-tuned for the specific job.

  • RAG
  • Orchestration
  • Evaluation
  • Custom fine-tuning

What your users and your board actually see.

  • Forecasting
  • Ranking
  • NLP
  • Computer vision

We do services — and we back what we believe in.

  • Direct investment
  • Own products
  • Fractional leadership
  • Board & advisory

Production feedback flows back down — self-refining loops, every layer sharpening the one below.

Across Aviation · Banking · Retail · Robotics · Manufacturing · Energy

We Build Loops

Eval-driven engineering, run as a closed loop. Evals are the working specification: every system we ship plans, acts, reflects, and re-plans — self-improving on every pass, deterministic where it must be, adaptive where it can be.

01

Plan

The planner decomposes business intent into defined steps and constraints.

02

Subagents

Deterministic and LLM-based agents execute with registered tools.

03

Reflect

Evaluation and LLM-as-a-judge score every pass; metrics feed the next plan.

re-plan The planner decomposes business intent into defined steps and constraints. Deterministic and LLM-based agents execute with registered tools. Evaluation and LLM-as-a-judge score every pass; metrics feed the next plan.

Inside every loop Deterministic verification Business constraints Data governance Observability Explainability Reliability Shared memory

We treat everything as a data problem — a data science problem, a machine learning problem. It's the background we come from.

Context rot is real. We engineer context as a graph, not an ever-growing history — a programmable network of agents, tools, and memory.

Philosophy

Intelligence is measured by the length of your planning horizon.

Long horizons only hold when every step is verified. That's why we build measurable, closed loops — so we can plan further, and prove every pass.

Company Profile

Company

Terrafusion is an AI research lab and engineering company for AI, data, and production-grade software. We build models, agents, and the infrastructure beneath them, ship everything to production, and co-author and publish research on the systems we build.

Background

We build with Google-backed startups, venture-backed scale-ups up to Series E unicorns, and multinational businesses listed on global exchanges including Nasdaq. Our engineers come from STEM, research, enterprise software, and product engineering backgrounds.

Output

Complete delivery: working systems in production, documented decisions, evaluation, and full ownership transfer. We work two ways — engineering for the companies we serve, and our own capital behind the startups and products we back. Selected work will be published as approvals come through.

How We Work

01
Scope Define the problem, users, data, constraints, and delivery path.
02
Build Build in the client stack: software, models, pipelines, agents, or infrastructure.
03
Evaluate Test quality, reliability, controls, and readiness before launch.

For references, diligence, or project inquiries.

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