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Applied AI research

Solutions

We offer a small number of focused programmes and study types. Each one is designed to give clear answers to common strategic questions in applied AI markets.

Ongoing programmes

AI market trackers

Regular tracking of adoption, spend and sentiment across key applied AI segments, roles and company sizes.

  • Standardised question sets and segment definitions
  • Trend decks and data tables each cycle
  • Comparability across time and across markets
Deep-dive reports

Category & workflow studies

Focused reports on specific workflows or product categories, built to support product, commercial and investment decisions.

  • Category maps, use cases and buyer profiles
  • Feature, pricing and positioning comparisons
  • Growth drivers, risks and whitespace by segment
Custom work

Buyer & product research

Bespoke studies designed around your specific questions, layered on top of our existing baselines for context.

  • Concept, messaging and proposition testing
  • Pricing and packaging exploration
  • Thesis, roadmap or deal validation

Typical use cases

Most work starts from a small number of concrete questions. These are the situations where clients tend to bring us in.

For builders
  • Choosing which markets and workflows to prioritise
  • Understanding why deals are slowing or accelerating
  • Preparing a grounded market story for fundraising
  • Refining packaging, pricing and positioning
For investors & strategy
  • Building conviction around a specific applied AI theme
  • Comparing multiple teams in the same workflow
  • Testing the durability of a company’s position
  • Scanning for blind spots and new entry points

Research process

We use a consistent process so results are comparable and easy to use, while leaving room for the specifics of your question.

1. Define the brief

We clarify the decision, timeframe and constraints, and agree which markets, roles and workflows matter for this work.

2. Field and analyse

We combine surveys, interviews and our data collection models to gather the relevant signals, then segment, benchmark and stress-test the results.

3. Deliver & support

You receive focused decks and data cuts. Where helpful, we join internal discussions to help your team translate findings into action.

If you already know the question you need answered, you can move straight to an intro call. Get in touch.