AI Research · Product Engineering · Technology Consulting

Build the intelligence
your business actually needs.

FLOWGRAD designs and delivers AI systems, data platforms and complete software products. From computer vision and language intelligence to enterprise applications and production deployment, our specialists take ideas from technical discovery to measurable operation.

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Backed by five AI specialists across computer vision, NLP, classical data science, production engineering and academic research.

More than a model.
The complete system around it.

An AI model is only one component of a working solution. FLOWGRAD handles the data, research, architecture, software, integration, deployment and monitoring required to move from an experiment to a usable product.

Computer Vision

Detection, segmentation, tracking, OCR, visual inspection and video analytics for operational environments.

  • Object detection
  • Instance segmentation
  • Multi-object tracking
  • Visual quality inspection
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Language AI & LLM Systems

RAG, enterprise knowledge assistants, document intelligence and agentic workflows.

  • RAG systems
  • Enterprise search
  • Document processing
  • AI agents
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Data Science & Predictive Intelligence

Forecasting, anomaly detection, optimisation, statistical analysis and decision-support systems.

  • Time-series forecasting
  • Anomaly detection
  • Recommendation systems
  • Risk modelling
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Data Engineering & MLOps

Production pipelines, model deployment, monitoring, drift detection and infrastructure automation.

  • ETL pipelines
  • Model registry
  • CI/CD for ML
  • Drift monitoring
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Software & Product Engineering

Web platforms, mobile applications, APIs, dashboards and complete SaaS products.

  • SaaS platforms
  • Mobile apps
  • Enterprise dashboards
  • API development
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Research & Technical Consulting

Feasibility studies, architecture reviews, technology selection and AI strategy advisory.

  • AI feasibility
  • Architecture review
  • Build vs buy
  • Technical due diligence
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Everything required to move from
requirement to production.

Clients do not need to coordinate separate AI researchers, software developers, data teams, cloud engineers and consultants. FLOWGRAD provides a coordinated path from requirement to implementation.

Discover

Clarify operational problem, users, constraints and business value.

Assess

Evaluate data, infrastructure, legal considerations and technical feasibility.

Design

Define system architecture, model strategy, integrations and success criteria.

Build

Develop datasets, models, APIs, applications and user interfaces.

Validate

Benchmark performance against agreed technical and operational metrics.

Integrate

Connect the solution to cameras, databases, enterprise tools and workflows.

Deploy

Deliver to edge devices, on-premise infrastructure, private cloud or public cloud.

Monitor

Track system health, data drift, model behaviour, latency and failures.

Improve

Use real operational feedback to refine the system continuously.

AI products built from
real operational requirements.

Product

Custos

Workforce Presence & Zone Intelligence

Convert existing CCTV into measurable presence, shift coverage, zone attendance and operational alerts.

  • Existing CCTV support
  • Edge deployment
  • Zone analytics
  • Real-time alerts
Explore Custos
Product

Footfall Intelligence

Entry, Exit & Occupancy Analytics

Understand how people enter, leave, queue and occupy retail, transport and public environments.

  • Entry/exit counting
  • Live occupancy
  • Queue analysis
  • Peak-hour analytics
Explore Footfall Intelligence

Need a capability that is not already productised? FLOWGRAD also develops custom systems around specific workflows and infrastructure.

Technical Depth

Disciplines under one coordinated structure.

Computer Vision

  • Detection
  • Segmentation
  • Tracking
  • OCR
  • Visual inspection
  • Video analytics
  • Vision-language models
  • Edge inference

Language Intelligence

  • RAG systems
  • Enterprise search
  • Document intelligence
  • LLM applications
  • Agentic workflows
  • Classification
  • Information extraction
  • Summarisation

Data Science

  • Forecasting
  • Anomaly detection
  • Optimisation
  • Statistical analysis
  • Predictive modelling
  • Recommendation
  • Experimentation
  • Decision support

AI Operations

  • Dataset versioning
  • Model registry
  • CI/CD for ML
  • Monitoring
  • Drift detection
  • Edge deployment
  • Cloud inference
  • Cost optimisation

Software Engineering

  • Web platforms
  • Mobile apps
  • APIs
  • Dashboards
  • Enterprise integration
  • Workflow systems
  • Cloud architecture
  • DevOps

Research Discipline

Research discipline without research paralysis.

FLOWGRAD combines academic research practices with practical engineering. We benchmark alternatives, document assumptions, measure failure cases and select technologies based on the operating environment rather than fashion.

Reproducible experimentation

Every experiment is documented, versioned and repeatable.

Transparent evaluation

We measure and report failure cases alongside success metrics.

Site-specific validation

Models are validated against the actual deployment environment.

Production-aware research

Research choices account for latency, cost and infrastructure constraints.

Explore our research approach

Bring us the requirement, the data
or even the unresolved problem.

We will help determine what is technically possible, what is commercially sensible and what must be built to make it operational.

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