A Decade Of Epistemology. Now Shipping

We invent and implement epistemic systems: operative systems of record that institutionalize organizational knowledge, expertise and feedback signals. Since 2015, we've invested in defining and refining ontologies and taxonomies to enable reliable automation. Knowledge graphs are our chosen formalism for capturing how systems evolve through their lifecycles, teaching machines to reason about change while preserving the context that makes decisions meaningful. Our work explores lifecycles as intricate as the SDLC itself, pursuing both computational epistemology and epistemic computing to understand intelligent behavior emergence, convergence and control in multi-participant systems.

Energy grids learning to balance renewable sources. Financial systems and data that changes by the millisecond. Biological networks changing dynamically. Logistics platforms reflecting real-time conditions. These are the domains where lifecycle dynamics create value. The software industry holds a special place given its foundational role—creating the cyber-physical bridge. If you're working on problems where these dynamics matter, we should talk.

ROI redefined: Return on Innovation.
\[ \frac{\partial K}{\partial t} = \alpha \nabla^2 K + \beta K(1 - \frac{K}{K_{max}}) - \delta K \] Knowledge diffuses, grows, and decays. We accelerate α, optimize β and adapt δ.

Epistemic Computing

Quantitative Models: We integrate statistical models, optimization algorithms, and machine learning approaches to process signals and extract actionable patterns from complex data streams. These models provide probabilistic reasoning capabilities while maintaining computational efficiency.

Formal Knowledge Representation: Our systems employ structured ontologies, knowledge graphs, and symbolic reasoning frameworks to capture domain expertise and logical relationships. This enables explicit modeling of constraints, dependencies, and inferential pathways.

Heuristic Systems: We develop both explicit rule-based heuristics derived from domain expertise and learned heuristic models that capture implicit decision patterns. These systems balance computational tractability with decision quality in resource-constrained environments.

Sensor-Actuator Interfaces: Our architecture provides standardized interfaces for data ingestion from sensors and control signals to actuators. This enables near real-time integration with external systems and automated response to environmental changes.

The system maintains temporal continuity through persistent state management and distributed operation across multiple nodes. Knowledge integration occurs continuously as new sensor data arrives and actuator feedback is processed, enabling adaptive behavior while preserving system coherence across distributed components.

For technical collaboration: contact us.

Consulting

Heuro Labs specializes in complex, high-value problems that require deep technical expertise and foundational thinking. We help organizations build knowledge layers that enable both deterministic and non-deterministic computation—creating systems that learn, adapt, and scale.

Our Approach

We build foundational knowledge layers that can be used to train, evaluate, and augment computational systems. Our work focuses on creating robust epistemic frameworks that bridge human expertise with machine intelligence.

Target Industries

Energy

Trading Systems, Optimization, ROI Modeling, and Anomaly Detection.

Financial Services

Anomaly detection, Risk Modeling, Opportunity Identification.

Cyber Security

Adaptive Anomaly Detection, Target Identification, Threat Detection and Adaptive Behavioral Analysis.

Biomedicine

Research Acceleration, Multisource Data Fusion, Diagnostic Support, Anomaly Detection and Clinical Decision Support.

Information

Knowledge Management, Enterprise Ontologies, Intellectual Assets Management.

Use Cases

Ten years of building adaptive epistemic systems that stay current, act on your goals, and keep people in the loop. These use cases show where that discipline delivers measurable value fast.

Commerce

Unified visibility, automated capture

Customer, product, and financial signals all get tracked, but rarely in one living model. We automate the connective tissue so teams share a single view, spot revenue leaks early, and move with the agility that good-enough tools never unlock.

Financial Services

Strategies modeled in the real world

Execution breaks when the world you model and the one you trade diverge. We encode your instruments, mandates, and heuristics in a live decision layer that keeps strategy in sync with reality, automates the mundane choreography, and leaves room for human intervention when judgement calls matter.

Energy

Optionality across buy, sell, store and consume

Modern energy actors buy, sell, store, and consume in the same cycle. We deliver telemetry-aware systems that reconcile physical constraints with market optionality, surface profitable moves in real time, and give operators the controls to act with conviction while the landscape keeps shifting.

About

Company Overview

Heuro Labs was founded in 2015.

Location: Berlin, Germany

Focus: Adaptive Decision Systems, Epistemic Automation, Knowledge Graphs Infrastructure, Multimodal Temporal Reasoning, and Data Fusion

Business Model: Subscription, License, Success-fee, Equity, JV, IP Licensing and Project based

Recognition

  • Named one of Berlin's "Coolest Tech Companies" by Business Insider (2016-2017)
  • Co-authored G20 policy brief on labor market automation impacts (2017)
  • Nominated as one of the six best data startups at Viva Technology (2016)
  • Winner at Viva Technology 2016 – Autonomous Vehicle challenge
  • EY Innovation Award (2016)
  • Market Recognition: 20+ innovative and impactful projects

Technology Expertise

  • Heuristics discovery and algorithmic capture
  • Epistemic systems and computational epistemology
  • Temporal knowledge representation systems
  • Formal ontology development
  • Knowledge graph architectures

Leadership

Contact: Mohamed Sayed

Email: together@heurolabs.com

Address: Muehlen Strasse 8a, 14167 Berlin, Germany

Current Status

Active

Partners

We welcome strategic partnerships that leverage our collective expertise to create economic value and/or maximize epistemic access. Our ideal partners share our commitment to solving complex problems through innovative technology and creative thinking.

Industry Leaders

Leaders interested in leveraging our experience, innovative technologies, and creative problem solving to create or enhance economic opportunities. We bring deep technical expertise and a proven track record of delivering solutions that matter.

What We Bring:

  • 10+ years of experience in epistemic systems
  • World class intuition for complex problem solving
  • Proprietary Multimodel-Multimodal Knowledge Graphs, Ontologies and Automated Reasoning Technologies
  • Cross-industry domain expertise
  • Real world, built to work, last and scale. All the way to planetary scale
  • Rapid prototyping and deployment capabilities

Research Partners

We are interested in working with research partners on the most complex problems in machine intelligence, distributed systems, and autonomous computing. Together, we can push the boundaries of what's possible in computational epistemology.

Research Focus Areas:

  • Machine intelligence and reasoning systems
  • Online Learning and Adaptation
  • Private Economies, Markets and Ecosystem Dynamics
  • Machine-Machine and Machine-Human Interaction
  • Distributed knowledge architectures
  • Autonomous computing paradigms
  • Temporal knowledge representation

Ready to Explore Partnership?

Whether you're looking to transform your industry or advance the state of the art in intelligent systems, we'd like to hear from you.

Start the conversation

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