Enterprise systems for the problems others won't touch
We build quantum-resistant cryptography migrations, industrial digital twins, and AI governance frameworks for high-stakes environments. Not consulting theater. Actual engineering.
Value
Why teams choose us
If you need serious, complex systems with long-term responsibility, this is why we're the right partner.
We think in systems, not features.
We design platforms, workflows, and governance around your operations, not just isolated screens or APIs.
We are comfortable with high stakes.
Low-latency trading, biosafety constraints, AI risk, multi-branch operations – we work where outages and bad decisions are expensive.
We share the reasoning, not just the result.
Architecture decisions, trade-offs, and risks are documented and explained so your teams can build on our work.
End-to-end, from UX to governance.
We cover product design, engineering, QA, risk, and governance in one aligned team.
We design around operators, not just dashboards.
The people who use our systems are waiters, plant engineers, risk analysts, regulators. We start from their constraints and design everything around their reality.
We build for the long term.
Our systems are designed for production, operations, audits, and years of evolution – not just launch day.
Not a match if you need quick wins over sustainable architecture, or prefer agencies that avoid technical depth.
Impact
We measure what matters
Systems shipped, risk reduced, time saved.
Critical systems designed and deployed
POS platforms, digital twins, governance frameworks, and security programs across multiple domains.
Countries where our systems run in production
From single-city pilots to multi-region architectures serving thousands of users daily.
Average reduction in manual operational work
Through integrated platforms replacing spreadsheets and ad-hoc tools with unified workflows.
Uptime across production deployments
High-stakes environments demand reliability: finance, healthcare, and multi-branch operations.
Years of combined deep-tech experience
From cryptography and AI governance to real-time systems and industrial digital twins.
Projects with full documentation handover
Architecture decisions, trade-offs, runbooks, and knowledge transfer are standard, not extras.
Case Studies
Selected work
Evidence: we have done big, complex work before. Let prospects see themselves in our past projects.
Industrial robotics manufacturer
Problem
Physical testing of autonomous navigation algorithms was slow, expensive, and couldn't safely test edge cases at required scale.
What we did
- Implemented high-fidelity simulation environment with physics validation
- Integrated with existing robotics development tools and workflows
- Created comprehensive scenario library covering failure modes
Outcome
Reduced development cycle time by 60%, validated algorithms safely before hardware deployment, identified critical failure modes impossible to discover through physical testing.
Large-scale manufacturing facility
Problem
Production line optimization limited by lack of real-time digital twin infrastructure and predictive capabilities.
What we did
- Designed digital twin architecture for multi-asset orchestration
- Implemented real-time data synchronization with sub-second latency
- Built predictive analytics for maintenance and optimization
Outcome
Enabled predictive maintenance reducing unplanned downtime by 40%, optimized production parameters increasing throughput by 15%, created foundation for facility-wide digital twin deployment.
Services
High-Tech Enterprise Services
Six pillars of deep technical work across security, autonomy, industrial systems, and risk management.
CoreAccelerate — HPC Performance Optimization
**Computational Scientists** whose research is limited by available compute time rather than scientific questions—if your job queue always has work wa...
CoreOps — Server Optimization & Efficiency
**Infrastructure Architects** managing hundreds to thousands of servers where incremental efficiency gains translate to significant cost savings. **D...
DataCheck — Data Quality & Validation
**Data Engineering Teams** building pipelines where data quality issues consume excessive debugging time and erode trust in data products. **ML Platf...
FeatureGate — Feature Flag & Experimentation Platform
**Product Engineering Teams** shipping features continuously where ability to control releases independently of deployment enables faster iteration an...
FluxDeploy — Zero-Downtime Deployment
**DevOps Leads** responsible for deployment infrastructure where current manual processes create bottlenecks, risk, and deployment anxiety. **Platfor...
FluxStream — Event Streaming Infrastructure
**Platform Engineers** building foundational infrastructure for event-driven architecture where building and operating streaming infrastructure in-hou...
Industries
Who we build for
We focus on a limited set of domains where complexity and risk are high.
Industrial Robotics
Simulation platforms, motion planning systems, and digital twins for autonomous robotics development. Accelerate iteration cycles while reducing physical testing costs.
Robotics simulation, motion planning validation, sensor modeling, autonomous navigation
Manufacturing & Production
Digital twin orchestration, predictive maintenance, and real-time monitoring for production facilities. Bridge OT and IT systems with reliable infrastructure.
Digital twins, predictive maintenance, real-time monitoring, production optimization
Data Centers & Cloud Infrastructure
Automation, thermal management, and efficiency optimization for large-scale compute infrastructure. Reduce operational costs and improve reliability.
Data center automation, thermal intelligence, energy efficiency, infrastructure orchestration
Climate & ESG
Simulation platforms, carbon tracking systems, and research-grade environmental monitoring infrastructure for organizations with serious sustainability commitments.
Climate modeling, ESG reporting automation, sensor network design, data validation
AI Governance & Compliance
Frameworks and systems for responsible AI deployment: risk assessment, model governance, federated learning, and regulatory alignment (EU AI Act, etc.).
AI governance frameworks, model risk management, explainability tools, audit trails
BioTech & Biosafety
Laboratory information systems, biosafety constraint modeling, and research environments where precision, traceability, and regulatory compliance are non-negotiable.
Lab workflow automation, biosafety protocols, sample tracking, regulatory compliance
Engineering
What we build
Production-grade systems across robotics simulation, real-time intelligence, HPC acceleration, and industrial IoT—backed by actual case studies and deployed in critical environments.
Robotics & Simulation
Physics-accurate simulation environments, motion planning, and autonomous systems tested at scale before hardware deployment.
Example projects
- MotionForge — Robotics simulation engine (Case: MotionForgeSim)
- TwinWeave — Digital twin orchestration (Case: TwinWeaveOps)
- VisionDesk — Computer vision systems
High-Performance Computing
Computational workload acceleration, GPU optimization, and systems where performance-per-watt defines success.
Example projects
- CoreAccelerate — HPC acceleration (Case: CoreAccelerateX)
- HorizonPredict — Hybrid physics-ML modeling (Case: HorizonSense)
- CoreOps — Server runtime optimization
Real-Time Intelligence
Sub-second data processing, event correlation, and distributed systems where latency determines outcomes.
Example projects
- StreamMesh — Real-time event intelligence (Case: StreamMeshLive)
- FluxStream — High-throughput event streaming
- SignalSDK — Low-latency observability
Industrial & IoT
Sensor networks, predictive maintenance, and intelligent monitoring for industrial environments and food safety.
Example projects
- ThermalSense — Thermal intelligence platform
- UptimeGrid — Predictive maintenance engine
- IoT automation systems (Case: AegisSense)
Platform Engineering
Production-grade infrastructure, zero-downtime deployment, and operational systems built for continuous delivery.
Example projects
- FluxDeploy — Deployment orchestration
- ServeOne — API gateway and service mesh
- FeatureGate — Feature management platform
Product Platforms
Multi-domain SaaS platforms, operational intelligence, and systems integrating real-time data across business functions.
Example projects
- Fabizi Platform — Unified hospitality OS (Case: Fabizi Platform)
- DataCheck — Data quality and validation
- SceneCraft — 3D visualization engine
Quality
Engineering quality & reliability
We design for production, operations, audits, and long-term change – not just launch day.
Architecture & Scalability
We design modular systems that grow with your operations. Whether it's a single-location pilot or multi-region deployment, architecture decisions are made with long-term evolution in mind, not just initial launch.
Testing & QA by Design
We treat QA as a first-class part of engineering, not an afterthought. Automated tests, regression suites, and real-world scenario testing are built into every project that goes to production.
Security & Compliance
Security is integrated from day one: threat modeling, secure coding practices, cryptographic rigor, and regulatory alignment (GDPR, SOC 2, ISO 27001, EU AI Act). We document security trade-offs, not just checkboxes.
Documentation & Knowledge Transfer
Every system we build comes with: architecture decision records, API documentation, operational runbooks, and constraint explanations. Your team inherits understanding, not mystery code.
Operational Readiness
We design for production from the start: monitoring, alerting, logging, incident response plans, and deployment automation. Systems are delivered ready to run, not just ready to demo.
We document constraints and failure modes. We write runbooks for operations teams. We design systems that can be audited, explained, and evolved.
Innovation
Innovation & R&D Lab
We reserve capacity to explore frontier ideas with teams who have non-standard challenges.
IoT & Robotics Prototypes
Hardware-software integration for autonomous systems, sensor networks, and robot fleet coordination. We design PoCs that prove viability in real constraints, not just labs.
Swarm robotics, edge computing, sensor fusion, real-time control systems
Neuro-Symbolic AI PoCs
We design small, focused proofs-of-concept that combine deep learning with symbolic reasoning for decisions that must be both accurate and explainable.
Hybrid AI architectures, explainability frameworks, knowledge graph integration
Climate & Simulation Optimization
Modeling platforms for climate impact assessment, carbon tracking, and environmental monitoring. We build simulation engines that researchers and policymakers can trust.
Climate modeling, carbon footprint automation, environmental sensor networks
Experimental Interfaces & Workflows
Rethinking how operators interact with complex systems: voice interfaces for biosafety labs, AR overlays for maintenance, gesture control for sterile environments.
Voice-first interfaces, AR/VR for operations, multimodal interaction design
This is serious R&D, not hackathon gimmicks. We emphasize: clear scope, real constraints, and knowledge transfer so your team can build on the PoC.
Platform
Fabizi Platform & Products
We run our own platforms in production. That's why we understand long-term operational reality.
End-to-end platform for multi-branch restaurants: POS, table management, KDS, reservations, inventory, HR, and finance. Replace fragmented tools and spreadsheets with one integrated system.
System Architecture
Key modules
Front-of-House POS & Tables
Order taking, table management, real-time kitchen communication, payment processing
Kitchen Display System
Real-time order routing, prep time tracking, multi-station coordination
Back Office
Inventory management, supplier orders, staff scheduling, payroll integration
Finance & Reporting
Daily sales reports, P&L by location, automated reconciliation, tax compliance
Multi-Branch Analytics
Consolidated dashboards, performance comparison, inventory optimization across sites
Reservations & CRM
Table reservations, customer history, loyalty programs, marketing automation
Typical users
Operational impact
Typical deployment: 60% reduction in manual reconciliation, near-zero inventory discrepancies, single source of truth for daily operations.
Process
How we work
We move from discovery to production through a disciplined, transparent process.
Discovery & Scoping
We start by understanding your constraints, operations, and risks. Joint workshops with your technical and business teams to map the problem space.
Deliverables
Constraints document, initial architecture sketch, scoping proposal
Architecture & Design
We map your constraints, choose the right patterns, and design interfaces, data models, and governance structures. Every major decision is documented with trade-offs.
Deliverables
Architecture decision records, API specs, data models, security analysis
Implementation & Validation
We build in incremental modules, testing continuously. Regular demos with your team ensure alignment. Code reviews and QA are integrated, not deferred.
Deliverables
Working software, test suites, integration documentation, deployment scripts
Pilot / Proof of Concept
Before full rollout, we run a controlled pilot with real users and real data. This surfaces edge cases and operational constraints early.
Deliverables
Pilot environment, user feedback report, performance metrics, iteration plan
Rollout & Knowledge Transfer
We support production deployment with runbooks, monitoring setup, and hands-on training for your operations and engineering teams.
Deliverables
Production deployment, runbooks, monitoring dashboards, team training sessions
Support & Evolution
Post-launch, we provide ongoing support, bug fixes, and feature evolution. Your system continues to adapt as your operations grow.
Deliverables
Support SLA, feature roadmap, performance optimization, incident response
Every step is designed around what you experience: clarity, control, and confidence in the system we're building together.
Craft
Tech & craft
We care about how systems are built: code quality, patterns, testing, and developer experience.
Languages & Frameworks as Capabilities
We use TypeScript, Python, Go, and Rust depending on system requirements. For web platforms: Next.js and React. For data pipelines: Python with Kafka and PostgreSQL. For low-latency systems: Go or Rust. The tool matches the problem, not the other way around.
Architectural Patterns
We lean on modular monoliths, well-bounded services, or hybrid approaches depending on your team size and operational maturity. Our priority is long-term maintainability, not chasing patterns for their own sake.
Testing & Automation
Unit tests, integration tests, end-to-end scenarios, and load testing are standard. CI/CD pipelines automate deployments, rollback, and environment parity. We test the failure modes, not just the happy path.
Developer Experience & Documentation
Code should be readable, well-structured, and self-explanatory where possible. We write inline comments for complex logic, maintain architecture decision records (ADRs), and create developer-friendly README files. Your team should be able to onboard quickly.
Performance & Observability
We optimize where it matters: database queries, API response times, memory usage. Monitoring and logging are built in from day one. Dashboards show real metrics: latency, error rates, throughput – not vanity numbers.
We explain why we choose certain patterns, not just list them. Code quality is not a luxury – it's what makes systems maintainable for years.
Ecosystem
Partnerships & ecosystem
We work with your existing tools, platforms, and vendors – not against them.
Cloud & Infrastructure
Multi-cloud deployment, containerization, infrastructure as code, edge computing
AI & Data Platforms
Real-time data pipelines, ML ops, model deployment, time-series analysis
Regulatory & Compliance Frameworks
We align our systems with regulatory requirements from the design phase
Integration Partners
Payment processing, communications, monitoring, observability, auth systems
We list only tools and frameworks we actually use. These are context, not the main star – your business problem is.
Philosophy
About Fabizi
We exist to build systems that stand up in the real world – with real constraints, people, and risks.
Fabizi started from a simple observation: many organizations face complex technical problems but struggle to find partners who combine deep engineering with operational awareness. We bridge that gap. We design platforms, not prototypes. We care about what happens after launch. And we believe that the best systems are those that respect the people who use them every day.
Our principles
We design around operators, not just dashboards
The people who use our systems are waiters, plant engineers, risk analysts, regulators. We start from their constraints and design everything around their reality.
Systems over features
We think in platforms, workflows, and governance – not isolated screens or APIs. A feature is only valuable if it fits into a coherent operational whole.
Long-term responsibility
We build for production, audits, and years of evolution. Our work is designed to be maintained, explained, and extended by your teams long after we hand it over.
Rigorous, not rigid
We love constraints: they clarify thinking. But we adapt our methods to your reality, not force you into a process that doesn't fit.
No bullshit, no buzzwords
We speak plainly about trade-offs, risks, and limitations. If something is complex, we explain why – we don't hide behind jargon.
"We are a small, focused team. We prefer working on fewer projects with more depth than spreading ourselves thin. If you value thoroughness over speed, and sustainable architecture over quick wins, you'll find a good fit here."
— — Fabizi Team
Testimonials
What clients say
“They helped us architect thermal monitoring for our new data center. System's been running for 8 months—cooling optimization alone paid for itself in 3.”
— Infrastructure Director, Regional cloud provider
“The digital twin architecture they delivered was the first one our OT and IT teams both understood and trusted. We went from concept to pilot in 7 months.”
— VP of Operations, Manufacturing company
“They built a simulation environment that helped us validate robot behavior before hardware testing. Cut our development cycle by months.”
— Engineering Lead, Industrial automation
Careers
Work with us
We work on hard, meaningful problems with people who enjoy rigorous thinking and building systems that stand up in production.
The environment
Who we look for
Product-minded engineers
You care about user experience, operational constraints, and business outcomes – not just clean code.
System thinkers
You see how components connect, where failure modes emerge, and how design decisions ripple through operations.
Comfortable with ambiguity
Complex domains don't come with perfect specs. You can navigate uncertainty while maintaining engineering discipline.
Strong communicators
You can explain technical trade-offs to non-technical stakeholders and turn vague requirements into actionable plans.