Real programmes, real constraints
What the client needed, what we built or staffed, and what changed as a result.
Airline data your teams can question in plain English, from Slack
FareIntelligence works with large volumes of airline fare and pricing data. We provided data and AI engineers who built a governed semantic layer over that data and a Databricks Genie space on top, so people can ask questions in natural language from Slack.
- Questions answered in Slack each week
- ~350
- Typical time to an answer, down from 1 to 2 days
- < 30 sec
- Analyst time saved each week
- ~25 hrs
Questions answered in Slack each week
Typical time to an answer, down from 1 to 2 days
Analyst time saved each week
Client-reported, first eight weeks in production.
Read the case studyNeuraMach.AIA senior data modernisation squad in under three weeks
NeuraMach.AI won a data modernisation contract and needed a senior delivery squad, from solution architect to governance and delivery leads, before the programme kick-off date.
- To first shortlist per role
- < 48h
- Full senior squad onboarded
- < 3 weeks
- Roles filled from our own bench
- 100%
To first shortlist per role
Full senior squad onboarded
Roles filled from our own bench
Have a data or AI programme to deliver?
Tell us the outcome and the deadline. We'll tell you honestly whether we can hit it.