Intelligent Automation Of Complex Lifecycles.
We build epistemic systems—systems of record that institutionalize organizational and sovereign individual knowledge. 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.
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.
Engagement Model
We prefer working on Success Fee or Equity basis. We also work on Project Basis and Time & Materials models. This allows us to adapt to the unique requirements of each challenge while maintaining transparency and flexibility throughout the engagement.
Ready to explore how epistemic systems can transform your domain? Let's discuss your challenge.
Projects
Over the last 10 years, we have delivered dozens of projects with industry and market leaders. Below is a sample.
Energy Trading & Optimization
Decision Support and Electricity Trading System - +15% Improvement On Energy ROI
Customer: Industrial Conglomerate
IP: Ours
Transportation
Predictive Navigation - Best In The World
Customer: Industrial Conglomerate
IP: Ours
Quotation Automation - Hands-free Email to Quote System in complex industry
Customer: Industry World Leader
IP: Ours
Freight Rate Prediction - Spot Pricing
Customer: Industry Leaders (Several)
IP: Ours
Industrial Applications
Predictive Maintenance
Customer: Continental Industry Leaders (Several)
IP: Ours
Synthetic Fuel Formulation
Customer: Market Leader
IP: Theirs
Financial Services
Prospectus Analysis
Customer: Hedge Fund
IP: Ours
Investment Matching and Evaluation
Customer: Private Investor
IP: Ours
Autonomous Data Pipeline - 9 figures
Customer: Industry Leader
IP: Theirs
Healthcare
Cancer Diagnosis Support System
Customer: Regional Research Lab
IP: Ours
Anti-epileptic Drug Analysis
Customer: Research Project
IP: Ours
Malaria Diagnosis Support System
Customer: Research Project
IP: Ours
E-Commerce
Planogram Automated Quality Assurance
Customer: Regional Startup
IP: Ours
About
Company Overview
Heuro Labs was founded in 2015. The company is privately held by its founder and small number of angel investors.
Location: Berlin, Germany
Focus: Heuristics Discovery, Epistemic Systems, Knowledge Graphs, Dynamic Automation, Multimodel-multimodal Systems, Autonomous Computing
Business Model: Success-fee, Equity, JV, IP Licensing, Project-based consulting, Time & Materials
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)
- 20+ projects delivered across energy, finance, healthcare, and transportation sectors
Technical 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
- Proprietary Multimodel-Multimodal Knowledge Graphs, Ontologies and Automated Reasoning Technologies
- Cross-industry domain expertise
- 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
- Private Economies, Multispecies Markets and Ecosystem Dynamics
- 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.
Impressum
Information pursuant to Sect. 5 German Telemedia Act (TMG)
Heuro Labs
Muehlen Strasse 8a
14167 Berlin
Germany
Contact
Mohamed Sayed
E-mail: together@heurolabs.com
Person responsible for editorial
Mohamed Sayed
Heuro Labs
Muehlen Strasse 8a
14167 Berlin
Germany
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