Acquisition
Enterprise AI.
At startup speed.
Across finance, healthcare, telco, manufacturing, and more.
500+AI use-cases analysed
3B+Business value created
100+AI solutions deployed
AI Discovery
Most AI strategies die in a deck. Yours won't.
Two parallel streams — technical feasibility and strategic assessment — converge in a prioritised roadmap with working prototypes.
- 01
AI Initiative Long-List
Stakeholder belief audits, data and process review, compilation of 10–20 candidate use-cases.
10–20 candidate use-cases
- 02
Technical & Business Assessment
Each use-case scored against 25+ criteria. Prioritisation matrix produces a short-list of highest-impact, most feasible opportunities.
Prioritisation matrix
- 03
Practical Verification
Data quality evaluation and a clickable demo of the selected use-case to validate assumptions before committing to build.
Clickable prototype
- 04
Strategic Roadmap
Implementation timeline with owners, budget estimates, and dependencies.
Roadmap + ROI model
90%+
Use-case realisation rate
25+
Scoring criteria per use-case
4-8w
Typical timeline
500+
AI Use-cases analyzed
AI Discovery Engagements
iQor
CX – BPO
3 AI systems in production across CX operations
>95% reduction in analyst time on call data
U.S. Steel
Manufacturing
~5% reduction in energy & emissions costs
ROI on subsequent implementation costs in less than a year
Penta Real Estate
Real Estate
$5M+ annual impact identified
40+ ideas assessed, 12 prioritized, 3 prototyped
Gaming Leader (North America)
Entertainment – iGaming
$7M+ incremental EBITDA identified
100+ ideas distilled to 15 initiatives – 3 imminent priorities
Agentic AI in Production
Agents that run in enterprise environments. Not sandboxes.
Two parallel streams – technical feasibility and strategic assessment – converge in a prioritised roadmap with working prototypes.
CX • Agentic • Predictive
AI-Powered Client Insights Platform
Client-facing agentic platform on top of iQor's data backbone — AI-powered recommendations where users select a metric to improve and the agentic system performs multi-step drill-down. breakdowns → low-performing buckets → root causes → prioritised action items, all streaming in real-time.
- AI recommendations with agentic drill-down
- Hyper-personalised and dynamic reporting
- Surfacing direct savings
CX • Agentic • Predictive
AI-Powered Client Insights Platform
Client-facing agentic platform on top of iQor's data backbone — AI-powered recommendations where users select a metric to improve and the agentic system performs multi-step drill-down. breakdowns → low-performing buckets → root causes → prioritised action items, all streaming in real-time.
- AI recommendations with agentic drill-down
- Hyper-personalised and dynamic reporting
- Surfacing direct savings
Design Tooling • Agentic
Vibe coding for enterprise teams
Rich collaborative editor with 25+ content blocks — Figma frames, React components, Storybook canvases — with real-time multi-user collaboration, AI-assisted feature building and design system operations grounded in each org's actual design tokens.
- 25+ content block types with live Figma sync
- AI-powered spec writing and feature generation
- Built for team collaboration
SW Dev. • Agentic
Context Engineering Platform
Processing software delivery context from 6 years of historical PRs. Identifies patterns that trip AI coding agents and distributes proven context into developer workflows.
- Agent success rate 10 to 90%
- Engineering productivity +30-50%
- Reduced bug density
Consulting · Agentic · Multimodal
AI Knowledge Platform for Consultants
RAG-based semantic search across company documents — PowerPoints, PDFs, Word files — with an AI agent that generates synthesized answers referencing specific slides and pages, using consulting-native language.
- 85% recall vs 56% Google Drive vs 46% Gemini
- AI sanitization of client names and sensitive data
- Research outlining with multi-thread deep research
CX • Agentic
Copilot for CX Teams
Unified CX observability, inferred CSAT on 100% of interactions, bot failure diagnosis, and automated QA. Idea to MVP in 12 weeks.
- Measured interactions 100%
- Deflection Rate Improvement
- Reduction in Abandonment
Marketing • Agentic • Predictive
Agency Management Platform
Multi-channel sentiment tracking across Slack, email, and calls — combined with Meta, Google, Amazon, TikTok, and Klaviyo performance data to predict client churn.
- Churn detection 3 months ahead
- 10 data types analyzed daily
- Continuous sentiment tracking
AI Capabilities
Three disciplines. One production standard.
Complex use-cases combine disciplines — Multimodal extraction feeding Predictive scoring, Predictive triggers launching Agentic workflows.
Autonomous agents that act, not just answer
- Multi-agent orchestration
- RAG & memory architecture
- Decision-support agents
- Human-in-the-loop workflows
- Conversational interfaces
- Content generation pipelines
50%+
Agentic AI projects in production
Vision, audio, documents — cross-modal intelligence
- Document intelligence
- OCR & object classification
- Cross-modal reasoning
- Vision & quality control
- Audio processing & synthesis
- Video processing
15%+
Search recall across company documents
Forecasting, detection, and optimisation at scale
- Demand forecasting
- Recommendation engines
- Ensemble ML methods
- Anomaly & fraud detection
- Churn & propensity modelling
- Revenue uplift modelling
~5%
Energy cost reduction
The Team
Why enterprises work with Sudolabs.
- 01
Research-grade engineering
CAMBRIDGE • CERN
- 02
Tier-A strategy
BCG • ACCENTURE
- 03
Silicon Valley product & design
YC
100+
Team members
<5%
Admission rate
FAQ
They advise. We build. Our strategy engagements end with working prototypes and production roadmaps — not slide decks. Our engineers have credentials from Cambridge, CERN, and Imperial College London. Our strategists come from BCG and McKinsey. You get both in one team.
Neither. We're an AI services company. We sit at the intersection of AI strategy, engineering, and product. We don't just advise and we don't just execute briefs — we own the outcome from use-case mapping through production deployment. Every system runs on a proven delivery platform — battle-tested modules and patterns from 100+ enterprise deployments.
Most companies that come to us with a prioritised list discover the list changes after real technical validation. We can start from your existing roadmap — but we'll pressure-test feasibility, data readiness, and ROI before building. That's how we've maintained 90%+ realisation rate.
Finance, healthcare, telco, manufacturing, insurance, marketing, entertainment, and CX. 100+ production deployments across these verticals. If you're in a regulated industry, we've navigated the compliance requirements before.
Every engagement builds on what came before. Across 100+ deployments, we've accumulated a delivery platform — proven modules, integration patterns, and agent architectures. Your system is custom. The foundation is battle-tested. That's how we compress timelines without cutting corners.
Both. Sometimes we build custom AI that integrates with your existing stack — CRM, ERP, data warehouse. Sometimes we replace rigid SaaS tools that can't adapt to your workflows. The approach depends on where the highest value sits.
AI Discovery runs 4–6 weeks and ends with a prioritised roadmap plus working prototypes. Production builds vary by complexity — typically 3–6 months to a live system. Most enterprises start with Discovery and move into production builds and long-term engagements.