Applied AI & Computational R&D

Computational R&D for hard technical problems.

We build algorithms, agentic systems, and software that improve complex decisions and operations.

What we do

Specialized computational systems for complex decisions and operations.

We develop rigorous computational capabilities for complex decisions and operations in demanding real-world environments.

Capabilities

Computational R&D capabilities.

01

Algorithms & Optimization

Specialized methods for complex decisions, systems, and operations.

  • Search and planning
  • Allocation and routing
  • Optimization under uncertainty
  • Simulation and decision support

02

Machine Learning

Learning-based methods for prediction, decisions, and technical computation.

  • Predictive models
  • Reinforcement learning
  • Learned algorithms
  • Surrogate models

03

Agentic Systems

Bounded systems for tool use and technical workflows.

  • Autonomous systems
  • Workflow automation
  • Tool use
  • Evaluation and control

04

Algorithm Discovery

AI-assisted systems for hypotheses, experiments, and new methods.

  • Hypothesis generation
  • Candidate algorithms
  • Simulation environments
  • Research infrastructure

05

Advanced Software Engineering

Software and infrastructure for operational capability.

  • Production systems
  • Data infrastructure
  • Evaluation tooling
  • Deployment and monitoring

How we work

From formulation to deployable capability.

01

Formulate the Problem

Define the objective, constraints, data, and measures of success.

02

Develop and Test

Prototype, compare baselines, and measure results.

03

Deploy the Capability

Build maintainable software and operating workflows.

Our ethos

Rigorous thinking for real constraints.

Research discipline, engineering judgment, and measured evidence.

Contact

Have a hard technical problem?

Tell us what you are working on.

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