Project-based, retainer, or advisory. Scope defined upfront. Pricing tied to deliverables, not hours.
Data work across any vertical in automotive and manufacturing — production, quality, supply chain, aftersales, dealer network, warranty. AI is deployed where there's a genuine gap it can close, not as the default wrapper around every engagement. Sometimes the right answer is a clean dashboard. Sometimes it's a forecasting model. Occasionally it's "don't spend money on this."
Inventory positioning, supplier risk, logistics cost — modelled against your actual order and shipment history, not industry benchmarks.
Where time is actually being lost on the line or in the process, and what a realistic fix is worth — before you spend on it.
Root-cause patterns across defect and rework data. Predictive flags where the data supports them.
Production planning and warranty provisioning built on your own historicals, not a generic time-series template.
Network performance, service utilisation, parts demand — visibility that usually lives in disconnected spreadsheets.
If it's a data problem inside an automotive organisation, it's likely in scope. Bring the problem, not a request for a specific tool.
A short, fixed-fee engagement to map where data creates value across your operation, and where AI specifically earns its place — not assumed by default. The deliverable is a written plan you can act on, with or without further engagement.
Once a use case is validated, we build the smallest version that proves it works — a dashboard, a forecasting model, an optimisation tool — on data and systems you already own wherever possible.
Ongoing strategic support for teams that need continuous data and AI thinking — vendor evaluation, build/buy calls, roadmap review — rather than a single engagement.
For teams that need their engineers and analysts to use data and AI well — practical, hands-on workshops that move beyond demos into actual organisational adoption.
A smaller, standing practice alongside the data and AI work. For automotive OEMs, tier suppliers, and component manufacturers establishing a presence in India, with a clear-eyed read of partners, channels, regulation, and the cost of getting it wrong. Current focus markets: Italy, Germany, Singapore, Japan, and the United States — with deep operational familiarity in the Italian automotive and industrial landscape.
A structured assessment of the market opportunity, competitive landscape, regulatory and homologation environment, and entry mode options for automotive players. Deliverable: a written India entry plan with prioritised scenarios.
Translation of the entry plan into a deployable playbook — distribution, dealer and supplier partnerships, channel design, pricing strategy, hiring brief, and a 12-month execution roadmap.
Continued strategic support post-launch. Course correction based on real market signal. Vendor and partner relationship management. Local representation at regulatory and OEM meetings.
For automotive organisations that already know they want to enter and need help finding the right counterpart — distributors, manufacturing partners, JV candidates, or acquisition targets.
A defined problem, a defined output, a fixed fee. Scope, timeline, and deliverables agreed upfront.
Ongoing strategic and analytical support. Regular cadence, priority access, a consistent partner who knows your business and your data.
Build your internal team's capability rather than outsourcing it. Structured workshops, playbooks, and coaching built around your actual stack.
When the brief is unusual — a buy-vs-build call, a one-off market entry decision, a board-level data strategy review — engagement shape is tailored.
Tell us about the problem, not the solution. We'll come back within two working days with whether we're a fit, and what the smallest useful engagement would look like.