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Engineering systems that scale, adapt, and deliver.

From modernization and data foundations to AI deployment and platform reliability — we help teams build technology that works in the real world.

Talk to us See outcomes

What's holding enterprises back?

The same four problems appear in almost every engagement.

Legacy systems slowing innovation

Years of business logic locked in systems that can't move fast, integrate easily, or support AI. The gap widens every quarter.

Data not ready for AI

Siloed, ungoverned data that teams don't trust - and AI can't use reliably.

AI stuck in pilots

Demos that never reach production. No evaluation, no governance, no scale path.

Fragmented operations

Systems, workflows, and user journeys that don't connect - creating friction and cost.

How we respond

We don't add consultants to the problem.

We embed engineers who build, own, and ship.

The outcomes that matter.

01

Faster modernization

Ship new capabilities on modern platforms - without a full rewrite.

02

Reliable data for decisions

Clean, governed data that analysts, operators, and AI systems all trust.

03

AI in production

Not a PoC. Not a pilot. Real AI systems with evaluation, governance, and scale.

04

Scalable, connected systems

Platforms and integrations that grow with the business, not against it.

19+

years building enterprise systems

120+

clients — enterprise & social impact

250+

engineers across systems, data & AI

100M+

people reached through what we've built

Four pillars. One delivery chain.

Every engagement draws from these capabilities — combined to match what you actually need.

01

Product & Platform Modernization

Re-platform legacy systems, extend APIs, migrate workloads - without business disruption.

  • Legacy - cloud-native migration
  • API and integration modernization
  • Zero-downtime re-platforming

02

Data Foundations & Analytics

Design and build lakehouses, pipelines, and governance frameworks your teams trust.

  • Lakehouse & warehouse design
  • ELT/ETL pipelines with lineage
  • RBAC, auditability & governance

03

AI Engineering

Build production-grade AI: RAG, agentic systems, connectors, and evaluation loops.

  • Production RAG & agentic workflows
  • AI frameworks & accelerators
  • Continuous evaluation & observability

04

Cloud, Integration & Scale

Multi-cloud infra, enterprise connectors, CI/CD, and observability for everything you ship.

  • Multi-cloud Kubernetes & DevOps
  • Enterprise connector frameworks
  • FinOps & cost optimisation

Proof, not promises.

10+ years

Unicorn Data Platform

Alation - Data Platforms & Analytics

80K+

Automated tests across 3 clouds

Dremio — data lakehouse regression

7-Years run

Multi-Cloud CI/CD Platform

Valtix > Cisco — Management console with 100s of API integrations

114M+

Consultations

Delivered national telemedicine infrastructure at scale.

National Scale Telemedicine Platform

0 Prod

GenAI platform

Shipped an end-to-end governed GenAI platform - backend, AI infra, and DevOps.

GIDR.ai

$1.7B

Unicorn valuation

Built the metadata and connector systems from day one - then scaled to enterprise.

Alation

Services built for real-world transformation.

From AI systems and enterprise modernisation to product engineering and long-term delivery partnerships — BeeHyv helps teams design, build, scale, and operate software that works in the real world.

Talk to us See outcomes

AI / ML Services

GenAI, agentic, RAG, governance, productionisation

Digital Transformation

Modernisation, data, cloud, integrations, web & mobile

Other Services

QA, UX, DevOps, architecture, engineering squads

Three service layers. One delivery system.

AI / ML SERVICES

GenAI & Knowledge Systems

Agentic Workflow Automation

AI Integration & Experience

Evaluation & Governance

DIGITAL TRANSFORMATION

Legacy Modernisation

AI Ready Data Platforms & Analytics

Cloud & Platform Eng.

Enterprise Integration

Web & Mobile Transformation

OTHER SERVICES

Product Engineering

DevOps & Platform

Quality Engineering

UX & Experience

Data & BI Enablement

Architecture Consulting

Engineering Squads

Talk to us

Production-grade AI — not just models.

AI systems built for production use — from knowledge access and agentic workflows to model integration, evaluation, and governed deployment.

GenAI & Knowledge Systems

Enterprise knowledge access, retrieval-augmented generation, and cited response systems across documents, repositories, and multilingual contexts.

  • RAG systems - hybrid retrieval, GraphRAG, RBAC-aware
  • Enterprise search, summarisation, and knowledge access
  • Multilingual and multi-channel AI experiences
  • Document intelligence and content pipelines

Agentic Systems & Workflow Automation

Multi-step agentic workflows that execute across tools, systems, and data - with full audit trails, human-in-the-loop controls, and policy guardrails.

  • Multi-step agentic workflow orchestration
  • Human-in-the-loop operational automation
  • Tool orchestration across systems and APIs
  • Guardrails, approvals, and auditability

AI Integration & Experience Design

Embedding AI capabilities into existing applications and workflows - with conversational, voice, and multimodal interfaces designed for real user adoption.

  • AI embedding into existing applications
  • Conversational interfaces over enterprise systems
  • Voice, text, and multimodal interactions
  • AI experiences designed for usability and trust

AI Evaluation, Governance & Productionisation

The operational backbone of responsible AI - evaluation pipelines, policy controls, cost and quality monitoring, and production deployment engineering.

  • Model evaluation and benchmark design
  • Guardrails, policy controls, and approval flows
  • Cost, latency, and quality monitoring
  • Production deployment and operational hardening

Modernise systems. Build data foundations. Scale platforms.

Modernisation and transformation that help enterprises evolve systems, data, workflows, and infrastructure — without losing operational continuity.

Legacy Modernisation

Re-architecting legacy applications and platforms - incremental, non-disruptive, and aligned to future scalability.

  • Re-architecting legacy applications
  • Modernising workflows and business systems
  • Incremental migration strategies
  • Brittle - scalable architectures

AI Ready Data Platforms & Analytics

Data platform engineering that creates trusted, AI-ready foundations for analytics, automation, and reporting.

  • Data platform engineering and integration
  • Trusted analytics and reporting foundations
  • Domain-aligned data models
  • Data readiness for AI and automation

Cloud & Platform Engineering

Cloud migration, infrastructure modernisation, DevOps enablement, and platform reliability - end to end.

  • Cloud migration and infrastructure modernisation
  • Platform reliability and observability
  • DevOps and environment standardisation
  • Cost, performance, and scalability optimisation

Enterprise Integration & Connectors

API and connector development, workflow integration, and resilient connector architectures across SaaS, enterprise, and internal tools.

  • API and connector development across systems
  • Workflow integration across enterprise tools
  • Resilient connector architectures
  • Scalable integration patterns for complex ecosystems

Web & Mobile Transformation

Modern front-end and mobile application engineering - delivering performance, cross-platform capability, and digital adoption.

  • Modern front-end and mobile engineering
  • Workflow redesign for digital adoption
  • Cross-platform delivery and modernisation
  • User-facing system refresh for performance and scale

Quality, experience, reliability, and scale.

Supporting engineering capabilities that help teams build better products, improve software quality, strengthen delivery systems, and scale with the right technical foundation.

Product Engineering & Development

End-to-end product engineering across the lifecycle — from concept and prototyping to production delivery and continuous evolution.

  • Product discovery, prototyping, and iterative build cycles
  • Backend, frontend, web, and mobile engineering
  • Feature development aligned to product goals
  • Long-term product evolution and technical stewardship

DevOps & Platform Enablement

Systems and delivery infrastructure that improve release velocity, reliability, and operational readiness.

  • CI/CD automation and deployment pipelines
  • Environment setup and infrastructure enablement
  • Monitoring, alerting, and production support readiness
  • Release engineering and platform automation

Quality Engineering & Test Automation

Quality systems that reduce regressions, improve release confidence, and support reliable software delivery.

  • Test automation frameworks and quality pipelines
  • End-to-end validation across workflows and integrations
  • Performance and scalability testing
  • Regression control and release assurance

UX & Product Experience Engineering

Experience design and usability engineering that improve adoption, clarity, and workflow effectiveness.

  • UX modernization for complex products and workflows
  • Interface design systems and reusable patterns
  • Usability improvements driven by user journeys
  • Trustworthy data and AI interaction design

Data, Analytics & BI Enablement

Analytics and business intelligence systems that turn fragmented data into actionable insight.

  • ETL / ELT pipelines and analytics foundations
  • Dashboarding, BI, and reporting systems
  • Data visualization and decision support experiences
  • Integration with enterprise data sources

Architecture & Engineering Consulting

Technical leadership for system design, modernization strategy, and engineering decision-making.

  • System architecture and scalability design
  • Modernization and technology strategy
  • Platform and integration architecture
  • Technical advisory for high-impact engineering decisions

Engineering Squads & Long-Term Partnerships

Dedicated engineering teams and embedded delivery partnerships that extend internal product and engineering capacity.

  • Outcome-oriented engineering squads
  • Long-term delivery partnerships
  • Flexible team augmentation with delivery accountability
  • Continuous engineering support across roadmap stages

How services map across your journey.

Different service areas activate at different stages — from discovery through long-term partnership.

1

Discover

Needs, data, tech landscape

2

Design

Architecture & solution design

3

Build

Engineering delivery

4

Harden

QA, governance, readiness

5

Scale

Cloud, performance, ops

6

Extend

Partnerships & evolution

End-to-End Tech Partner

Full ownership across strategy, build, launch, and operation.

CoE-Anchored Squad

Specialist squad for a defined service area, scoped to measurable outcomes.

AI Discovery Sprint

2-4 weeks: validate AI use cases, assess readiness, define a production roadmap.

Ready to build?

Ship AI that works
at production scale.

From prototype to production. From platform to population scale.

Talk to our team See case studies