Now onboarding new clients

AI services & IT solutions,
engineered to scale.

Infinite Loop AI designs, builds, and operates intelligent software for businesses — production GenAI systems, cloud architecture, microservices, and managed IT solutions. One partner from first idea to running system.

14+ Years of engineering
500k+ Req/min systems delivered
8 Fixed-scope solutions
<24h Response time

Full-spectrum AI & IT capability

From AI strategy and architecture blueprints to production deployments and ongoing operations — we cover the full lifecycle of modern software delivery.

AI Solutions & GenAI Engineering

Production-grade RAG systems, AI assistants, document intelligence, vector search, LLM guardrails, and end-to-end AI pipelines — with full governance and compliance coverage.

  • LangChain
  • OpenAI
  • Azure AI
  • MongoDB Atlas
  • Qdrant

Cloud Architecture & Migration

Cloud-native design on Azure and AWS: PaaS migrations, Kubernetes orchestration, event-driven microservices, and observability frameworks that cut incident recovery time by hours.

  • Azure
  • AWS
  • Kubernetes
  • Kafka
  • Terraform

Microservices & API Development

High-throughput API design using Saga, CQRS, and DDD patterns. We build services that handle 50k+ req/min with sub-50ms P99 latencies and bulletproof resilience.

  • .NET
  • Node.js
  • Python
  • gRPC
  • Docker

Full-Stack Product Engineering

From greenfield MVPs to SaaS products — TypeScript, React, Python, and Node.js. We ship fast, test thoroughly, and build for long-term maintainability.

  • React
  • TypeScript
  • Python
  • FastAPI
  • MongoDB

Managed IT & DevOps Operations

We keep your systems running — CI/CD pipelines, infrastructure automation, monitoring and alerting, SLO management, and ongoing support so your team can focus on the product.

  • CI/CD
  • GitHub Actions
  • OpenTelemetry
  • Grafana
  • On-call

Security & Compliance

GDPR-compliant data architectures, OIDC/OAuth2 implementation, encryption at rest and in transit, PII redaction for AI workloads, and red-team evaluation for LLMs.

  • GDPR
  • OIDC
  • Encryption
  • PII Redaction
  • Red Teaming

From idea to running system

A transparent, predictable delivery process — you always know what's happening, what's next, and what it costs.

  1. Discover

    A free scoping call to understand your goals, constraints, and current systems. We ask the hard questions early so there are no surprises later.

  2. Design

    Architecture, delivery plan, and a fixed quote. You get concrete diagrams and a prioritised backlog — not a vague consulting deck.

  3. Build

    Iterative delivery with weekly demos and full code access from day one. Tested, documented, and reviewed — no black boxes.

  4. Operate

    Deployment, monitoring, and handover — with optional ongoing support. Your team gets runbooks and training, not a dependency on us.

Built on battle-tested tools

We don't chase trends — we use the right tool for the right problem, selected for performance, reliability, and long-term cost.

Cloud & Infra

Azure AWS Kubernetes Docker Terraform NGINX

Languages & Frameworks

.NET / C# Node.js Python TypeScript React FastAPI

Data & Messaging

Kafka MongoDB PostgreSQL Redis Qdrant

AI & ML

OpenAI Anthropic Claude LangChain Azure OpenAI RAG Vector Search

DevOps & Observability

GitHub Actions OpenTelemetry Splunk Chaos Engineering DORA Metrics

Fixed-scope. Fast delivery.

Defined engagements you can plan around and start immediately — no lengthy scoping, no open-ended retainers.

5 – 7 days

AI Document Search

Private Q&A over your company's documents — no data leaves your infrastructure.

Deploy a production-grade RAG system over SharePoint exports, shared drives, or any document store. Staff ask questions in plain English and get answers with source references — instantly.

  • Document ingestion pipeline & vector embeddings
  • Semantic search + Q&A interface
  • Basic access permissions layer
  • Hosted or on-premise deployment
10 days pilot

Internal Knowledge Base Copilot

Q&A over Confluence, Notion, repos, and runbooks — permission-aware, always up to date.

Engineers stop asking the same onboarding questions. Support stops escalating to seniors. The right answer surfaces from your actual internal docs, with permissions respected so people only see what they're allowed to see.

  • Ingestion from Confluence, Notion, GitHub repos, runbooks
  • Permission-aware retrieval layer
  • Slack or web-based Q&A interface
  • 10-day pilot offer to validate fit
Ongoing / per use

Document Compare & Redline

Upload two documents, get a structured diff, risk highlights, and a plain-English change summary.

Contracts, policy wordings, lease agreements, quotes — upload any two versions and receive a structured redline, risk-flagged change highlights, and an executive summary of what changed and why it matters. Built for brokers, solicitors, and operations teams drowning in document reviews.

  • Structured diff with change classification
  • Risk highlight & flagging layer
  • Plain-English change summary
  • Per-seat SaaS or document-pack pricing model
3 – 7 days

AI PR Review Bot

A GitHub Actions bot that enforces your standards, summarises changes, and catches issues before merge.

Automated code review integrated directly into your pull request workflow. Enforces architecture rules, runs security checks, flags policy violations, and generates plain-English summaries of every change — without blocking your team.

  • GitHub Actions bot setup & config
  • Custom rule definitions (architecture, security)
  • "Why this change" AI summaries
  • Rollout guide & team onboarding
3 – 5 days

E2E Coverage Sprint

Done-for-you Playwright testing — critical paths covered, CI gate wired, team handed a runbook.

We come in, add Playwright, write 10–20 critical-path tests, harden against flakiness, add a CI quality gate, and leave your team with a runbook to maintain and extend coverage independently.

  • 10 – 20 critical-path Playwright tests
  • CI/CD pipeline integration & quality gate
  • Flaky-test hardening & retry strategy
  • Test maintenance runbook
1 week

Observability in a Box

From zero visibility to production-grade dashboards, SLOs, and on-call basics — in a week.

Standardised Grafana dashboards, Prometheus metrics wiring, structured logging, SLO definitions, alerting rules, and an on-call runbook. Built for small teams running production systems without a dedicated platform engineer.

  • Metrics & logs wiring (Prometheus / Grafana)
  • SLO definitions & alerting rules
  • Golden Signals dashboards per service
  • On-call runbook & escalation policy
Per audit cycle

Compliance Evidence Collector

Automated audit pack generation for ISO 27001 / SOC 2-style controls — ready before the auditor arrives.

We pull evidence for your compliance controls automatically: screenshots, config exports, CI logs, access lists, change records. The output is a structured audit pack that maps evidence to controls, giving you confidence before an audit rather than a scramble during one.

  • Automated evidence collection across cloud & CI
  • Control-to-evidence mapping document
  • Gap analysis & remediation notes
  • Structured audit pack (PDF + structured data)
1 – 2 weeks

Legacy → Microservices Readiness Assessment

A fixed-deliverable architecture review — event map, migration plan, phased roadmap, and cost estimate.

For organisations running monoliths and feeling the pain — slow deploys, coupled teams, scaling ceilings. We assess your current system, define a pragmatic target architecture, and hand you a concrete phased roadmap with quick wins, risks, and cost estimates. No vague consulting decks — actionable diagrams and a prioritised backlog you can execute immediately.

  • Current-state event & dependency mapping
  • Target architecture diagrams (bounded contexts, services, messaging)
  • Phased migration roadmap with quick wins
  • Risk register & cost estimate
  • Prioritised backlog ready to execute

Not sure which fits? Drop us a message and we'll figure it out together.

Engagement models that fit your business

Whether you need a defined project delivered, extra engineering capacity, or a long-term technology partner — there's a model for it.

Industries we know inside out

We specialise in regulated and document-heavy industries where correctness, compliance, and data privacy are non-negotiable.

Fintech & Financial Services

High-throughput transaction systems, regulatory reporting, and AI workflows built for auditability.

Insurance

Policy document intelligence, comparison and redlining, quote automation, and broker tooling.

Legal

Contract analysis, document search, and drafting assistants — with strict data confidentiality.

Property & Real Estate

Lease intelligence, portfolio document search, and operations automation for managers and agents.

Logistics

Event-driven tracking systems, integration platforms, and legacy modernisation for moving parts at scale.

SaaS & Scale-ups

Product engineering, platform hardening, AI feature development, and the path from MVP to enterprise-ready.

Frequently asked questions

What kind of projects do you take on?

Anything from a one-week fixed-scope solution (like AI document search or an observability setup) to multi-month product builds and legacy modernisation programmes. If it involves AI, cloud, or complex backend engineering, it's in our wheelhouse. If it isn't a good fit, we'll tell you on the first call.

How quickly can we start?

For productised solutions, typically within one to two weeks of the scoping call. Larger engagements depend on current capacity, but you'll get an honest start date up front — we don't overbook and under-deliver.

Where does our data go when you build AI solutions?

Wherever you need it to stay. We build AI systems that run inside your cloud tenancy or on-premise, with PII redaction, encryption, and access controls by default. For regulated industries we design so that no sensitive data ever leaves your infrastructure or reaches third-party model providers without explicit controls.

Do you work with our existing in-house team?

Yes — and we prefer it. Our embedded engineering model puts senior engineers directly inside your team, using your tools and processes. Every project ends with documentation, runbooks, and handover sessions so your team owns the result, not us.

How do you price engagements?

Productised solutions and well-scoped projects are fixed-price — you know the cost before work starts. Embedded engineering and retained support are priced monthly. No surprise invoices, no scope creep billed by the hour.

What happens after delivery?

Every delivery includes documentation and a handover. From there you can run it yourself, take a retained support agreement with response SLAs, or have us operate it fully as a managed service — your choice.

Let's build something together

Whether you're exploring an AI initiative, need a defined solution delivered, or are looking for a long-term technology partner — tell us about it and we'll come back with concrete next steps.

  • Response within 24 hours
  • Based in London, UK — delivering globally
  • Free, no-obligation scoping call
  • Fixed-scope, embedded, or retained engagements

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