MLOps Platform
Models were trained in notebooks and deployed by hand. Nobody could reproduce a result from three months earlier, and quality degradation was noticed only when business users complained.
- Project type
- ML infrastructure
- Industry
- AI-enabled products
- Domain
- Data
- Delivery
- Pipelines and registry, then monitoring and retraining
Technologies
- Python
- Docker
- Kubernetes
- CI/CD
- Model registry
- Monitoring
- Reproducibility
- Versioned end to end
- Promotion
- Staged
- Drift detection
- Automated
These describe scope and architecture. We do not publish performance figures we cannot substantiate.
Business problem
Models were trained in notebooks and deployed by hand. Nobody could reproduce a result from three months earlier, and quality degradation was noticed only when business users complained.
Our approach
Training was moved into reproducible pipelines with versioned inputs and tracked experiments, and deployment behind a registry with staged promotion. Monitoring watches both input drift and output quality after release.
Result
Any production model can be traced to the exact data and code that produced it. Degradation is detected by monitoring rather than by users, and rolling back to a previous model is a routine operation.
Key features
The capabilities that mattered most to the outcome.
- Versioned datasets, features and model artefacts
- Reproducible training pipelines with tracked experiments
- Staged model promotion from development to production
- Drift and performance monitoring with alerting
- Automated retraining triggers and rollback
Technologies used
Chosen for the requirement rather than by habit — we explain the trade-offs before building.
Your project would not necessarily use the same stack. We choose per requirement, and we will explain the reasoning before anything is committed.
Need something like this?
Tell us how your situation compares. We will outline what would carry over, what would differ, and what it would take to deliver.
Related work
Other systems in the same domain.
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Operations platform
Business Management Platform
Professional services
- Business problem
- Operations ran on a growing set of spreadsheets shared over email. Status was whatever the last person remembered, approvals happened in chat, and monthly reporting took several days of manual consolidation.
- Result
- Operations now run from one system with a live status view and an audit trail. Management reporting is generated from source records rather than rebuilt each month, and process knowledge lives in the software rather than in individual memory.
Key features
- Configurable modules for enquiries, projects, vendors and payments
- Maker-checker approval flows with delegation
- Role-based dashboards from executive summary to task level
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Business
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- A hosted storefront could not express B2B price tiers alongside retail pricing, and plugin sprawl had pushed page load times to the point where mobile shoppers abandoned before the catalogue rendered.
- Result
- One storefront now serves both retail and trade customers with correct pricing for each. Product pages render fast on mid-range mobile devices, and the business owns its customer and order data outright.
Key features
- Catalogue with variants, bundles and customer-specific price lists
- Multi-warehouse inventory with reservation logic
- Payment gateway integration with retry and reconciliation
- Next.js
- Node
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- Redis
- Cloud storage
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Business
Point of sale
Billing & POS System
Retail & pharmacy
- Business problem
- Peak-hour queues were driven by billing software that required mouse navigation for routine actions, and any internet interruption stopped sales entirely. Stock and sales data only reconciled at long intervals.
- Result
- Counters keep operating through network outages, billing is faster per transaction, and stock, sales and tax records agree by construction rather than by periodic reconciliation.
Key features
- Keyboard-first billing with barcode scanning
- Offline mode with automatic reconciliation on reconnect
- Configurable tax slabs and compliant invoice formats
- React
- FastAPI
- PostgreSQL
- Redis
- Linux
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Have a Project in Mind? Let’s Build It.
Tell us what your business needs. We scope the solution, recommend the right architecture and give you a clear plan — design, build, deploy, maintain and grow.