AI Strategy & Roadmapping
Use-case discovery, feasibility, ROI modelling, and a sequenced roadmap your CFO and CTO can both sign.
Investigative AI agents · See what your data is hiding
AI, data and automation — engineered as one ecosystem.
Most AI work stalls between the deck and the deployment. Clustral AI moves you from ambition to a system in production — strategy, data, custom models, generative AI, agents, automation, integration and the governance to run it all responsibly. One accountable team across the lifecycle.
From anomaly hunts to root-cause traces — Clustral builds investigative AI agents that show their work.
NDA on request · response in one business day · APAC · EMEA · Americas
Eval harness · live ISO 42001 evidence Audit trail attached
End-to-end
Strategy through governance — one accountable team
Regulated-ready
GDPR · DPDP · HIPAA-aligned patterns by default
Audit-grade
Evals, lineage and reproducibility on every model
Global delivery
APAC · EMEA · Americas · cloud, on-prem, air-gapped
Built for regulated, board-supervised environments
EU AI ActNIST AI RMFISO/IEC 42001GDPRIndia DPDPHIPAA-readySOC 2 patternsRBI · SEBI awareOECD AI principlesSingapore AI VerifyMAS FEAT (SG)OWASP LLM Top 10EU AI ActNIST AI RMFISO/IEC 42001GDPRIndia DPDPHIPAA-readySOC 2 patternsRBI · SEBI awareOECD AI principlesSingapore AI VerifyMAS FEAT (SG)OWASP LLM Top 10
Charter partners · 2026
Three slots for charter engagements — heavily discounted fees in exchange for a public case study.
We're selecting three buyers in regulated industries (healthcare, public sector, insurance, or high-growth SaaS) to anchor our 2026 case-study library. You get senior engineering at materially reduced rates; we get the right to publish the architecture and outcome with your name. NDA negotiated up-front.
Apply — charter partner
2 of 3 slots remaining
What we do
A unified ecosystem, not nine disconnected tools.
From the first feasibility conversation to a fine-tuned model running in your stack — we deliver across the AI value chain, with a single accountable team.
Data Readiness & Platforms
Quality, lineage and pipeline audits. Lakehouse, vector store, and feature-store designs that survive scale.
Custom Models & Predictive Systems
Forecasting, computer vision, NLP and decisioning — designed, trained, fine-tuned and shipped to production.
Generative AI & LLM Applications
Private copilots, retrieval-grounded chatbots, content automation and knowledge platforms — with evaluations baked in.
AI Agents & Autonomous Workflows
Goal-driven agents that plan, call tools and execute multi-step work across your existing systems — safely and traceably.
Enterprise Systems Integration
Wire AI into the stack you already run — SAP, Salesforce, Microsoft, Oracle, Odoo, ServiceNow and bespoke APIs.
RPA & Intelligent Automation
From rule-based RPA to AI-augmented workflows that cut finance, ops and customer-service cycle times.
Training & Enablement
Executive briefings, role-based bootcamps and hands-on enablement that turn AI literacy into real adoption.
Governance & Responsible AI
Policy, controls, model-risk management and compliance — DPDP Act, GDPR, EU AI Act, ISO/IEC 42001 aligned.
Why Clustral
Most AI work fails for one of three reasons. We were built to fix all three.
You're likely choosing between a brand-name consultancy, a body-shop integrator, or a packaged SaaS. Each fails at a different point of the lifecycle. Clustral closes the seam.
vs. the deck-only consultancy
Beautiful strategy, no production system. The recommendation is months old by the time engineering owns it.
The Clustral difference
Our strategists build with the engineers who will ship it — so what we advise is what we deploy.
vs. the staff-augmenting integrator
An army of mid-level developers, no senior judgement on data, evals or governance. Cost balloons; risk hides.
The Clustral difference
Senior engineers stay on every engagement. Fixed value milestones, written scope, no resource-pyramid.
vs. the pre-baked AI SaaS
Black-box scoring, no audit trail, no path to your data realities. Procurement can’t sign; legal won’t clear.
The Clustral difference
Open architectures, citation-bound outputs, ISO 42001 / EU AI Act evidence packs you can hand to a regulator.
How we work
A delivery model designed for outcomes — not slideware.
Every engagement runs on four disciplined phases. We commit to value milestones, not vague timelines, and we leave your team stronger than we found it.
See if we're a fit- 01
Discover
Workshops with business and tech stakeholders. We map use cases, score them on value & feasibility, and pick the right first wedge.
- 02
Design
Solution architecture, data strategy, model selection (build vs. buy vs. fine-tune), and a tight, measurable PoC plan.
- 03
Deliver
Production-grade engineering — MLOps, evals, observability, security reviews and integration with your enterprise systems.
- 04
Sustain
Monitoring, retraining, governance reporting and continuous capability transfer to your in-house team.
Productized modules
Reusable infrastructure for regulated AI.
The components we ship inside engagements — eval harnesses, citation-bound generation, PII redaction, evidence vault — are also available as named modules with annual subscription pricing. Buy them à la carte, or get them embedded as part of an engagement.
Beta
Clustral Evidence
Append-only audit-trail vault for every AI decision your enterprise makes. EU AI Act Art. 12 logs · ISO 42001 evidence pack · reproducible replay.
from $30k / yrRequest beta →
Beta
Clustral Eval
Continuous LLM & ML evaluation as a service. NIST AI RMF trustworthy-AI scorecards · fairness, robustness, hallucination · CI gates.
from $24k / yrRequest beta →
Beta
Clustral Redact
PII / PHI redaction at ingest, before any model call. GDPR + DPDP + HIPAA + LGPD lawful-basis aware · reversible for authorised reviewers.
from $18k / yrRequest beta →
Beta
Clustral DocIQ
Regulated-document intelligence: layout-aware extraction, citation-bound summaries, reviewer console with reject/correct retraining loop.
from $48k / yrRequest beta →
All four modules are currently in private beta with charter partners. Indicative pricing assumes a single workload, single region; multi-tenant and on-prem deployments are scoped per engagement. Bundled with services engagements at a material discount.
Try it · 30 seconds
Investigate your AI use case before you build it.
Most discovery calls open with the same question — “is this a high-risk system, and where?” The Compass answers it across every jurisdiction at once. Pick a domain, an archetype, and an impact level — get a live global risk class with side-by-side treatment under EU AI Act, NIST AI RMF, ISO/IEC 42001, OECD, Singapore, China, plus privacy and sector overlays. Computed in your browser; nothing leaves the page.
- Five-dimension radar: decisional impact · data · bias · hallucination · regulatory
- Side-by-side framework verdicts — EU AI Act · NIST · ISO 42001 · OECD · Singapore · China · privacy laws
- Transparent rule matrix — no black-box scoring, no LLM call
Live · AI Risk Compass
no data leaves your browser
Classify your AI use case across every major regulatory framework worldwide — EU AI Act, NIST AI RMF, ISO/IEC 42001, OECD, Singapore, China's GenAI Measures, plus privacy and sector overlays — and surface the controls a Clustral engagement would put in place.
1Domain
2What does the AI do?
3Who is affected?
Pick all three to see your tailored compass.
Computed locally from a published rule matrix; not legal advice. Production engagements include a full conformity assessment with our counsel and your DPO.
Investigative AI in motion
Five demos. One pattern: show your work.
Each diorama renders live in your browser from the same primitives we ship to clients — a deterministic agent loop, a reasoning trail, an audit-grade artifact. No data leaves the page.
Live · Anomaly Hunt
agent ▸
Anomaly Hunt — invoice review at the speed of thought
Agent crawls every line, surfaces only what merits a human look — with the reasoning trail intact.
invoices.csv · 10,000 rows · sample 30scan ▸ in progress
3 of 10,000 flagged · evidence trail attached · 142ms
Agent reasoning
- Vendor 'Acme Holdings' invoiced 3× with sequential numbers but different addresses → possible duplicate.
- Round-number invoice $10k cluster in last week of quarter — anomaly score 0.87.
- Cross-reference to PO #4488 missing → unverified.
evidence ▸ vendor_dup, round_number_cluster, missing_po
The data
What separates the AI projects that ship.
Independent research has mapped the patterns clearly: the teams that turn AI ambition into operating value share a small set of disciplines around data, evaluation, governance and workflow redesign. Every engagement we run is built on those disciplines from day one.
$2.6–4.4T
in additional annual value generative AI could unlock — concentrated in customer ops, marketing, software engineering and R&D.
mckinsey.com
McKinsey & Company
“The economic potential of generative AI: The next productivity frontier”, 2023
26%
of executives report meaningful EBIT impact from generative AI — almost all of it concentrated in companies that re-engineer workflows.
mckinsey.com
McKinsey & Company
“The state of AI in early 2024: Gen AI adoption spikes and starts to generate value”
+14%
productivity lift measured for customer-support agents with generative-AI assistance — concentrated on novice and lower-skilled workers.
nber.org
Brynjolfsson, Li & Raymond — NBER
“Generative AI at Work”, NBER Working Paper 31161, 2023
$4.88M
average global cost of a data breach in 2024 — organisations using AI & automation extensively in security saved $2.22M per breach.
ibm.com
IBM Security
“Cost of a Data Breach Report 2024”
55.8%
faster task completion in a controlled trial of developers using GitHub Copilot vs. unaided peers.
arxiv.org
Peng et al. — arXiv
“The Impact of AI on Developer Productivity”, arXiv 2302.06590
ISO/IEC 42001
the world’s first AI management-system standard, published Dec 2023 — adopted as the boardroom benchmark for trustworthy AI governance.
iso.org
International Organization for Standardization
ISO/IEC 42001:2023 — Information technology — Artificial intelligence — Management system
Scenarios
Engineering playbooks, not slideware.
Four reference scenarios drawn from the patterns that work — and the ones that fail review. Each shows the failure mode in the literature, the architecture we deploy, and the outcome envelope clients should expect to negotiate against. Targets are indicative; we commit to specifics in your SOW.
Generative AI
A grounded knowledge copilot for a 10,000-seat enterprise
Challenge. Employees waste 1.8 hrs/day searching for information (McKinsey, 2024). LLMs alone hallucinate; raw RAG leaks PII and confuses regulated content.
How we tackle it
- Hybrid retrieval (dense + BM25) over permissioned knowledge graph
- Per-tenant prompt isolation, row-level ACL inheritance, audit log per response
- Eval harness with 500+ expert-graded questions, weekly drift checks
- Human-in-the-loop review queue for regulated answers
Outcome envelope. Indicative target: 30–45% reduction in average handling time on knowledge-heavy tasks; <2% hallucination rate on grounded eval set.
Forecasting
Board-grade demand & revenue forecasts for omnichannel retail
Challenge. Spreadsheet forecasts under-react to regime changes; vendor SaaS hides assumptions and can’t be audited at scale.
How we tackle it
- Hierarchical Bayesian + gradient-boosted residual ensemble with conformal prediction intervals
- Causal uplift modelling for promotions; counterfactual what-if explorer
- Daily backtest, automated drift detection, shadow-mode deployment first
- Open MLflow + feature-store handover so finance can audit every prediction
Outcome envelope. Indicative target: 20–40% MAPE reduction vs. baseline; 95% PI coverage; explainable down to SKU-store-week.
Document Intelligence
Regulated document workflows reduced from days to minutes
Challenge. Compliance, claims and KYC reviewers manually process thousands of pages. OCR alone is fragile; off-the-shelf LLMs can’t cite sources or meet retention rules.
How we tackle it
- Layout-aware extraction (DocLayout-YOLO + Donut-class) with field-level confidence
- Citation-bound LLM summarisation; every claim links to a span in the source PDF
- DPDP / GDPR / HIPAA-aligned PII redaction before any model call
- Reviewer console with reject/correct loop that re-trains the extractor
Outcome envelope. Indicative target: 90%+ straight-through processing on routine cases; full audit trail per decision.
Agentic Automation
Autonomous operations agents with safe blast-radius
Challenge. Agents that act on real systems (CRM, ERP, billing) are powerful but risky. Most pilots fail safety review when scope is unbounded.
How we tackle it
- Capability-scoped tool catalogue (read vs. write vs. money-moving)
- Plan-and-confirm for irreversible actions; dry-run + diff before execute
- Per-action policy gate, anomaly detection, kill switch and rollback
- Continuous evals against an adversarial test suite before each release
Outcome envelope. Indicative target: 60–80% reduction in cycle time on bounded ops workflows, with 100% reversible-action coverage.
Outcome ranges in scenarios are derived from peer-reviewed and industry research (e.g. Brynjolfsson, Li & Raymond — “Generative AI at Work”, NBER 2023; Peng et al. — “The Impact of AI on Developer Productivity”, arXiv 2302.06590; McKinsey State of AI 2024) and from publicly reported reference architectures. Specific commitments are made only in a signed SOW after a feasibility assessment.
The boards we work with don't ask “can AI do this?” — they ask “can we defend it when it does?” Every system Clustral ships is engineered to answer that question, in writing, before it goes live.
Clustral AI Labs
Engineering principle · adopted on every engagement
Industries
Patterns that translate. Solutions that fit your context.
Manufacturing & Industrial
Healthcare & Life Sciences
Retail & Consumer
Logistics & Supply Chain
Energy & Utilities
Public Sector & Education
Professional Services & SaaS
Telecom & Media
The Clustral manifesto
AI that earns the right to make a decision in your name.
We are not the firm that arrives with a deck and disappears at deployment. Every system we ship carries its own evidence — the evals it passed, the data it touched, the policies it answers to. Senior engineers, written milestones, full handover.
Senior.
Principal engineers on every engagement
Written.
Value milestones, not vague timelines
Defensible.
Evidence pack for every model shipped
Transferable.
Your team owns it when we leave
Four commitments · written into every SOW
Responsible AI
AI you can defend — to your board, your regulator, your customer.
Every model we ship is paired with the policy, controls and evidence to operate it safely. We embed governance from day one, not as an afterthought.
- AI policy & acceptable-use frameworks
- Model risk management & red-teaming
- Data privacy: India DPDP, GDPR, HIPAA-ready patterns
- Bias, safety & robustness evaluations
- Audit trails, lineage and reproducibility
- EU AI Act & ISO/IEC 42001 alignment
About
One partner across the AI value chain.
Clustral AI Labs is a specialist AI engineering and governance firm. We pair senior strategists with hands-on ML, data and platform engineers, so what we recommend is what we can build. No layered handoffs, no middle-tier mark-ups, no AI theatre.
We deliver on cloud and on-prem, across overlapping APAC, EMEA and Americas hours, in any major currency. Every engagement comes with a written scope, fixed value milestones, and a governance package you can show your board, your regulator and your customer.
- Engagement
- Advisory · Build · Run
- Coverage
- APAC · EMEA · Americas
- Deployment
- Cloud · On-prem · Air-gapped
- Standards
- GDPR · DPDP · ISO 42001 · EU AI Act
How we operate
Five operating principles your CTO, CFO and CRO can all agree on.
01
Senior on the keyboard
Principal engineers stay on every engagement — not just at kickoff.
02
Written value milestones
Outcomes negotiated in the SOW. We get paid when we hit them, not by the hour.
03
Governance day one
Risk class, evals and audit trails are scoped before the first prompt is written.
04
Your data, your perimeter
Cloud, on-prem or air-gapped — we deploy where your compliance posture demands.
05
Capability transfer
Your team leaves stronger. We document, we pair, we hand back the keys.
Let's talk
Tell us where you are. We'll show you what's possible.
A 30-minute conversation is usually enough to know whether AI is the right lever — and where to pull it first. No deck. No pitch. Just engineering judgement.
Engaging globally
NDA on request. Indicative response within one business day across APAC, EMEA and Americas hours.