At Sozpic, we develop AI solutions for industry and construction that improve operational control, reduce deviations and turn technical data into more profitable decisions.
A solution for every need
Every industrial company has different challenges. That’s why we combine automation, control and digital strategy to help you produce better and sell more.
Cost overruns are detected too late.
Automatic alerts whenever something deviates from the plan.rnrn
Budgets, certifications and site reports are generated by hand.
Automatic generation from your system’s data.
Finding out how a project is going means asking and waiting.
Real-time dashboards.
Looking up regulations, technical data sheets or historical records means searching in multiple places.
An assistant connected to your internal documentation.
Your company handles major projects, but your online presence doesn’t reflect it.
Professional website, SEO, GEO and B2B campaigns.
Visitors to your website have questions and can’t find a quick answer.
AI agents that inform, respond and qualify leads automatically.
Companies that trust us
Frequently Asked Questions
Yes, including SAP Business One: we are part of the Expert One group, an SAP Gold Partner. We also connect to site management software, production control systems and planning files, through their interfaces or their database. The data keeps living where it lives today; what we add is the layer that reads it and acts on it.
Yes. Material certificates, test reports, site logs and handover documentation generated from the data you already record, using the templates and stamps each client or standard requires. The system flags what is missing before handover, which is where the hours get lost and the disputes start.
Yes. B2B campaigns on Google Ads and LinkedIn, built for long sales cycles: acquisition by product or project type, targeting by technical profile and by decision maker, and lead tracking all the way into the CRM. We are a Google Partner and a Meta Business Partner, and we measure cost per qualified lead, not clicks.
A first dashboard with connected sources is usually there in 2-3 weeks: production, costs, budget variances and site timelines on a single screen. From there it grows in phases, adding alerts and predictive models on downtime, waste or delays, depending on what the historical data can actually anticipate.
It depends on the history you hold. A predictive model needs enough recorded instances of the event you want to anticipate; a few hundred cases is often enough to train something useful. We check this in the feasibility analysis before quoting, and if the data does not support a model we say so: threshold alerts are cheaper than a model that misses.
Bring this to your business