01Operational signal
purchase_request.created AI systems · Product engineering · Worldwide delivery
Software that moves the business forward.
We turn complex operations into production-grade AI systems, real-time platforms, and digital products — designed, built, and operated by one senior engineering team.
02Decision layer
Rank, validate, explain 03Context assembly
- ERP inventory
- Supplier terms
- Policy constraints
04Controlled action
- Draft order
- Human approval
- Audit trail
Secure by designHuman-in-the-loopObservable in production
0107+years shipping
02200+projects delivered
0330+client organizations
04Globaldelivery model
Selected organizations we have worked with
Philip Morris Banca Intesa Cedevita Milšped Cockta TCL Makeable Galeb
Engineering capabilities
One team across the entire system.
Strategy, intelligence, software, and production operations stay connected. Select a capability to inspect how we approach it.01Inspect capability
AI systems built around the operation — not around a demo.
We connect models to business context, permissions, existing software, and measurable human workflows. Every decision can be reviewed, explained, and improved.
Delivery architecture
production / v2.0- 01 Operational data
- 02 Context & retrieval
- 03 Model orchestration
- 04 Guardrails
- 05 Human review
Typical production outcome
A production AI capability embedded in the workflow where it creates measurable leverage.
02Inspect capability
Complex software designed as a durable business system.
From discovery and domain modelling through APIs, web, mobile, and deployment, we own the technical continuity that fragmented vendor teams usually lose.
Delivery architecture
production / v3.0- 01 Business domain
- 02 System architecture
- 03 Product interfaces
- 04 Integrations
- 05 Production operations
Typical production outcome
A maintainable product platform that can evolve with the company instead of slowing it down.
03Inspect capability
Operational data turned into a system for decisions.
We unify fragmented sources, establish trustworthy models, and deliver analytics that teams can act on — from executive visibility to live operational control.
Delivery architecture
production / v4.0- 01 Source systems
- 02 Ingestion
- 03 Semantic model
- 04 Metrics layer
- 05 Decision interface
Typical production outcome
One dependable view of the operation, with definitions and ownership that survive beyond the dashboard launch.
04Inspect capability
Technical direction grounded in the reality of delivery.
We investigate processes, constraints, and system risk before recommending architecture. The result is a modernization path the organization can actually execute.
Delivery architecture
production / v5.0- 01 Current state
- 02 Constraint map
- 03 Target architecture
- 04 Transition plan
- 05 Delivery governance
Typical production outcome
A defensible technical roadmap with clear sequencing, risk, cost, and operational ownership.
05Inspect capability
High-performance browser experiences built for regulated environments.
We design and engineer interactive products where frame rate, engagement, platform integration, and compliance all matter at the same time.
Delivery architecture
production / v6.0- 01 Game logic
- 02 Rendering
- 03 Platform bridge
- 04 Telemetry
- 05 Compliance
Typical production outcome
A production-ready interactive product optimized across devices and ready for platform integration.
Product proof
We do not stop at the prototype.
Our own products keep us accountable for every layer after launch: performance, adoption, support, economics, and continuous operation.
Rori
02bees product
DumbGamesBrowser games for iGaming
Purpose-built browser games engineered for engagement, regulatory compliance, fast loading, and seamless operator integration.
- Real-time graphics
- Platform integration
- Cross-device runtime
View release status
Additional platforms
Delivered systems
The proof is in production.
Selected systems where architecture had to survive operational complexity, legacy constraints, real-time scale, or regulated environments.
Explore all case studies
Engineering stack
Technology selected for the system, not the pitch.
Our stack spans applied AI, product engineering, data, and production infrastructure. We choose it around constraints, scale, and maintainability.
01
AI & Data
- OpenAI
- TensorFlow
- LangChain
- PostgreSQL
- Power BI
02
Product
- React
- Next.js
- Vue.js
- Angular
- React Native
- Flutter
03
Platforms
- Java
- Golang
- Node.js
- Python
- .NET
04
Infrastructure
- Docker
- Kubernetes
- AWS
- Redis
- MongoDB
Start with the hard part
Bring us the operation everyone says is too complex.
You do not need a polished brief. Show us the process, constraints, and risk. We will help define the system worth building.
01Your operational problem
02Senior product + engineering team
03Production system