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Leading the AI Revolution.

Velais brings real AI engineers inside your company as the fast, agile, skilled team you never had.

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People and Systems

We train the people who will use AI first, and build the systems after.

Corporate AI training

AI tools change every month, and even motivated teams struggle to keep up. Our four-day course on the Claude platform ends with each person building a skill for a task from their own job. It costs USD 750 per participant.

AI systems

Company data sits in the ERP, the CRM, email and spreadsheets, and the numbers rarely match. We get the data and processes ready, then build AI agents and tools that work inside the systems you already use.

People
Systems

Our work

+ New question Which cable fits this outdoor run? ⚡ Catalogue search ×1 · ERP lookup ×1 Recommended product CODE · 4G2.5-OUT Price Stock Lead time ① Datasheet ② Catalogue p. 214 Ask about a product…
users in the first 10 weeks
252
questions in the first 10 weeks
5,873

Systems

Assistant on a technical catalogue

A large industrial manufacturer with an extensive technical catalogue.

Problem

After a merger, the sales reps were working from two separate sets of technical documents, more than 1,800 between them, with no shared way to find the right product code. Answering a customer meant digging through datasheets, then looking up price, stock and lead time in the ERP. The company's own team had already built a tool for this and rejected it as unreliable.

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KPIs SalesReceivablesStockLogisticsData pipeline Sync now SALESRECEIVABLESSTOCKDELIVERIES COLLECTED VS INVOICED Collected Invoiced STOCK BY MONTHS OF COVER ✓ reconciled to the cent
KPIs reconciled to the cent
21
source tables read every night
30

Systems

One set of KPIs, rebuilt from the ERP

A mid-sized wholesale distributor running SAP Business One.

Problem

Sales, finance and logistics each took their numbers from a different tool and defined the same KPIs in their own way, so two reports could give two answers to the same question. 21 of the KPIs management needed were not visible to it at all. Putting AI on top of that would only have scaled the confusion.

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Weekly trend signals LIVE · per node HARVESTYouTubenew rowsHARVESTRedditnew rowsHARVESTTikToknew rowsHARVESTInstagramnew rows Posts store RULES + MODELTaxonomygenres · artists ENRICHEquippingposts tagged WEEKLYAggregation17.9M+ posts SERVICEMetered APIkeys · quotas SHARE OF VOICE · 4-WEEK AVERAGE
posts collected from 4 platforms
17.9M+
artists tracked
103,676

Systems

Social posts turned into weekly trend signals

A data company that sells trend signals to the music industry.

Problem

The client sells weekly trend signals to record labels, and its product ran on social data bought from an outside supplier. When the supplier cut off the feed, the product had nothing left to run on. It needed a pipeline of its own, able to read millions of posts across four platforms at a cost that stays low at that scale.

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SIGN-INtokens from your identity GOVERNANCE LAYER IDENTITYCALLERDECISIONENFORCEMENTAPI CALLRECORD AI AGENTasks on behalf of a user SECRETSvault AUDITaccess log API GATEWAY Roles and scopes Business APIs MODELin your own cloud
enterprise agent connected to all 3 applications
1
for the daily report, from over an hour today
5 min

Systems

Daily site reports drafted by an agent, under one set of AI rules

A software company that runs field operations on large infrastructure projects.

Problem

On large infrastructure projects, every site manager filled in the daily progress report by hand at the end of the day, a job that took more than an hour. Reports arrived late, incomplete or not at all. The company also wanted every AI client, its own agent as well as Claude or ChatGPT, to reach its data under the same access rules.

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