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RESEARCH × SYSTEMS × REAL-WORLD IMPACT

Findingefficienciesat every curve

Trouve Labs is the R&D engine behind AHOY. We de-risk deep technology to build sovereign infrastructure systems that improve how people, data, goods, and infrastructure move.

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Director's Note

Hood Khizer
"We navigate complex technological landscapes to innovate solutions that are both practical and transformative."

True innovation isn't just about the technology itself - it's about building the infrastructure for the future. At Trouve Labs, we focus on creating sustainable research cycles that ensure a consistent flow of solutions that drive real-world value for smart cities, mobility, and critical infrastructure.

Hood Khizer

Director of Innovation & Research | CEO, Trouve Labs

What we do

We transform research into working technology.

Six capability surfaces - from foundational AI research to deployed cognitive infrastructure - that turn complex problems into systems that actually run.

Adaptive AI systems

From research to runtime

We design AI-driven systems that support smarter decision-making, automation, prediction, optimization, and real-time intelligence.
  • Foundation model fine-tuning and evaluation
  • Reinforcement learning over operational telemetry

Decision intelligence

Embedded in your stack

Prediction surfaces, automation runtimes, and decision APIs that fit alongside your existing services.
  • Predictive maintenance and anomaly detection
  • Workflow automation with human-in-the-loop

Workload orchestration

Hybrid by design

We develop tools for decentralized and hybrid computational workloads, helping organizations manage compute more efficiently while supporting privacy, control, and scalability.
  • Edge / cloud / on-prem scheduling
  • Cost-aware placement policies

Compute where data lives

Privacy & scale by default

Distributed runtimes that keep sensitive data in place while still serving cross-tenant intelligence.
  • Federated training pipelines
  • Confidential compute enclaves

Trouve Lab Disciplines

Areas of Research Focus

Six disciplines that feed every system we ship.

  • Agent-Based Reasoning

    Autonomous agents that plan, reason, and collaborate to solve multi-step problems.

  • Graph-Based Intelligence

    Dynamic knowledge graphs that evolve in real-time to represent complex world states.

  • Federated & Private Learning

    Training models across silos without ever exposing the raw training data.

  • Cryptographic AI

    Verifiable computation and zero-knowledge proofs for AI outputs.

  • Orchestration

    Managing thousands of models and agents across distributed infrastructure.

  • Real-Time Systems

    Sub-millisecond decision making for physical world control systems.

Our Approach

From mathematical models to intelligent infrastructure.

01Research the Problem
We study the system, its movement, its constraints, and its inefficiencies.
02Model the Complexity
We use applied mathematics, machine learning, and operations research to build models that explain and improve the system.
03Build the Technology
We convert research into algorithms, tools, platforms, APIs, and deployment-ready solutions.
04Optimize for the Real World
We test, refine, and scale solutions for actual operational, commercial, and infrastructure environments.
05Preserve Security and Privacy
We design systems that respect data ownership, privacy, and modern security expectations.