Our Technologies and Principles
Built by enterprise engineers who've delivered £200m+ projects. We don't just talk AI - we build production systems that scale.
"We build AI systems that process millions of transactions, serve thousands of users, and pass every audit."
Built by Enterprise Engineers, For Enterprise Reality
SOO Group isn't another AI startup founded by demo builders - our leadership has delivered £200M+ regulatory projects and scaled systems for millions of users.
We've lived through 3 AM production incidents, regulatory audits that last months, and board presentations where every technical decision needs business justification. This experience shapes everything we build.
Enterprise-First Architecture
Sandboxed AI Deployments
Unlike startups using public OpenAI APIs, we deploy LLMs within your security perimeter. Your data never leaves your infrastructure. We work with air-gapped environments, private cloud deployments, and on-premise installations.
Technologies: Private Llama deployments, Azure OpenAI Service, AWS Bedrock, Google Vertex AI - all within your VPC
Multi-Cloud & On-Premise Flexibility
One size doesn't fit all in enterprise. We deploy where you need us:
- Google Cloud: Cloud Run for serverless, GKE for full Kubernetes control
- AWS: App Runner for simple deployments, ECS/EKS for container orchestration
- Azure: Container Instances, AKS for existing Microsoft shops
- On-Premise: Docker Swarm + Portainer for lightweight deployments
Regulatory-First Design
Every system built to pass FSA/PRA/SEC scrutiny. We've been through the audits. We know what regulators look for. Audit trails, decision explainability, and data lineage are built-in from day one, not bolted on after the first compliance failure.
Autonomous Agent Architecture at Scale
What "Enterprise Scale" Really Means
Transaction Volume
Systems processing millions of transactions daily, with sub-second response times
Geographic Distribution
Agents deployed across multiple regions with data residency compliance
Integration Complexity
Connecting to 50+ enterprise systems, from modern APIs to mainframes
Compliance Requirements
Meeting SOC2, ISO 27001, PCI-DSS, and industry-specific regulations
Our Agent Technology Stack
Multi-Agent Orchestration
Not single chatbots, but coordinated swarms of specialized agents:
Petabyte-Scale Vector Operations
Beyond simple RAG implementations:
- Distributed Vector DBs: Not just Qdrant, but Weaviateclusters, Pinecone,pgvector at scale
- Hybrid Search: Combining dense vectors, sparse retrieval, and knowledge graphs
- Real-time Indexing: Streaming embeddings for millions of documents
- Multi-Modal Embeddings: Text, images, structured data in unified vector spaces
Production LLM Infrastructure
LLMs are the core - ML only where patterns are predictable and we need to cut costs:
- LLM Orchestration: Multi-model routing, fallbacks, and load balancing
- Prompt Management: Version-controlled prompts with A/B testing
- Cost Optimization: ML for repetitive tasks, LLMs for complex reasoning
- Token Economics: Intelligent caching, semantic deduplication, batch processing
What "Doers" Really Means
We've Sat in the Hot Seat
When regulators question your architecture at 2 AM during a system audit, theory doesn't help. We've defended technical decisions to the FSA, explained AI decisions to compliance teams, and justified architectures to C-suite executives.
We've Scaled Systems
From 1,000 to 100 million users without rewrites. Booking.com scale teaches you that "it works" isn't enough - it needs to work at 10x, 100x, 1000x current load without fundamental changes.
We've Integrated Legacy
Making 30-year-old mainframes talk to modern AI isn't in any tutorial. Oracle experience means we speak COBOL to Kubernetes, making your existing investments work with cutting-edge AI.
We've Delivered Under Pressure
£200m budgets mean no room for "it works on my machine". Every decision has consequences. Every delay costs millions. This pressure creates clarity and excellence.
Our Core Principles
1. Production-First Mindset
Every POC is built as if it's going to production tomorrow. Because in enterprise, it usually does.
"Move fast and break things" doesn't work when "things" process millions in transactions. We move fast AND keep things running.
2. Compliance from Day One
Security, audit trails, and compliance aren't features to add later. They're fundamental architecture decisions made on day one.
- Every AI decision is explainable and auditable
- Data lineage tracked from source to decision
- Role-based access control at every layer
- Encryption at rest, in transit, and during processing
3. Real P&L Impact
We measure success in millions saved or earned, not accuracy scores. Every system must deliver measurable business value.
4. No Lock-In Architecture
Everything we build can be handed over to your internal teams. We use open standards, document thoroughly, and build with standard technologies. Your success shouldn't depend on our continued involvement.
Why This Matters for AI
AI isn't magic. It's engineering that needs the same rigor as payment systems, the same reliability as trading platforms, and the same security as banking infrastructure.
The difference between a ChatGPT wrapper and enterprise AI is like the difference between a todo app and a core banking system. Both use databases and APIs, but one handles your shopping list while the other handles billions in transactions.
We build the latter. Systems that:
- Process millions of decisions daily with full audit trails
- Integrate with 50+ enterprise systems without breaking existing workflows
- Scale from pilot to production without architecture changes
- Survive regulatory audits and security penetration tests
- Deliver ROI measured in millions, not percentages
Our Unfair Advantage
Board-Level Communication
We speak both Python and PowerPoint. Technical excellence means nothing if you can't explain it to the board. We've presented to C-suites, defended budgets, and justified ROI in language executives understand.
Regulatory Relationships
We know what auditors actually look for because we've been audited. We build with compliance in mind, not as an afterthought. Your AI systems will pass scrutiny because they're built by people who've been through it.
Crisis-Tested
When production fails at scale, theory doesn't help. We've debugged systems processing millions, recovered from data center failures, and kept critical systems running through crisis. This experience is baked into everything we build.
Product DNA
We're not consultants who build and leave. We've built products used by thousands. We understand long-term maintenance, user feedback loops, and the difference between a project and a product.
The SOO Group Difference
When you work with SOO Group, you're not hiring an AI vendor. You're partnering with enterprise engineers who happen to be AI experts.
- We've delivered £200m+ projects and know how to manage enterprise complexity
- We've scaled systems to millions of users and understand true reliability
- We've integrated with legacy systems and respect existing investments
- We've survived audits and build with compliance from day one
- We've built products and understand long-term sustainability
Ready to Build AI That Actually Works?
Let's discuss your enterprise AI needs with engineers who've been there before.
Schedule a Technical Discussion