AI and process automation
We deploy AI and automation where it creates measurable value for your business. RPA, predictive analytics, whatever fits. Built for production, audit-ready, and designed to take the repetitive stuff off your plate.
Robotic process automation (RPA)
Automate predictable, rule-based workflows with software bots that run 24/7. Use cases: form population, transaction reconciliation, system syncing.
Intelligent document processing (IDP)
Digitize and interpret complex documents from invoices to contracts with OCR and NLP. Use cases: invoice automation, KYC onboarding, claims processing.
AI chatbots and assistants
We deploy systems on infrastructure that’s cost-efficient, scalable, and resilient by design.
Computer vision systems
Extract insight from camera or image data using deep learning models. Use cases: industrial quality control, logistics tracking, utility grid inspections.
Predictive analytics
Forecast risk, demand, or failure using machine learning on your internal data. Use cases: supply chain prediction, asset failure alerts, fraud pattern detection.
Get in touch
We work best with teams who care about long-term results. Whether you need a tech partner, a second opinion, or a full build – let’s talk.
The practical AI guide for critical systems
How to build AI solutions that create measurable value for your business, withstand audits, and survive real users under load.
What you will learn:
- Why most enterprise AI fails (and why the model is rarely the real issue)
- How human-in-the-loop workarounds quietly destroy ROI, and how to design systems that don’t need constant checking
- What “production-grade AI” means once audits, uptime, and accountability are non-negotiable
- How to run continuous learning without breaking compliance or operational stability
- When AI should automate, when it should assist, and when it should stay out of the workflow
- Reference architectures for scalable AI systems, including data pipelines, validation layers, control logic, and failure handling
faster audit responses (scenario-based)
reduction in core process time within 6 months
reduction in SLA breaches
reduction in manual legal clause review time
Success stories
From startups to global enterprises, teams count on us for growth that works
We helped our client cut manual labor by automating their waste material identification and classification process using a custom AI-powered computer vision system.
We helped our client build a frontend team from scratch, establish development processes that actually work, and ship a redesigned B2B platform while clearing years of technical debt.
What we’ve shipped for teams like yours and the results they achieved
View case studies
“Softeta’s AI solution helped us scale effortlessly, both locally and internationally. By automating customer interactions, we boosted efficiency while delivering a seamless experience.
Algirdas Blazgys
CEO @ PortalPRO
Ways we collaborate with you
A transparent, flexible approach designed around your goals.
Team augmentation
Extra talent that boosts your projects. Our experienced engineers integrate directly with your in-house team, bringing flexibility, technical depth, and fast scaling capacity. All without the overhead of hiring.
Building a dedicated team
A fully autonomous team focused on delivery from day one. We assemble a cross-functional group of experts to match your project goals, work within your roadmap, and take full responsibility for execution and outcomes.
Developing a project, subproject, component
We take full responsibility for delivering a clearly scoped system, module, or feature – from architecture to deployment. We handle design, development, testing, and ensure long-term maintainability.
Frequently asked questions
Learn more about our system modernization and optimization services
Do you start with a proof of concept or go straight to production?
We don’t build demos that die in a slide deck. Instead, we start with a production-oriented pilot that proves value on real data, under real constraints. If it works, it scales. If it doesn’t, you’ll know early and cheaply.
What data do we need to get started with AI-powered automations?
You don’t need “perfect data.” You need accessible data. We work with what you already have, then fix structure, validation, and access issues as part of the build. Data readiness is usually a systems problem, not a data science one.
How do you handle security, audits, and compliance?
We design for audits from day one. That means traceable outputs, logged decisions, controlled access, and clear ownership. If your industry has regulatory pressure, we build the system so it can explain itself when asked.
Will your AI/automation solutions replace our existing tools or integrate with them?
Almost always integrate. Most teams already have CRMs, ERPs, ticketing systems, or internal tools. We build automation and AI to work inside your stack, not force a rip-and-replace.
How do you decide what should be automated and what shouldn’t?
We automate where errors are expensive and rules are clear. We assist where judgment matters. And we leave workflows alone when automation would slow people down. Knowing the difference is part of the job.
How do you measure AI/automation solution success?
We measure aspects of your business you already care about: time saved, errors reduced, response times, SLA breaches, audit effort, and cost per transaction. If the numbers don’t move, the system isn’t done.
Looking for a tech partner?
Select your project type and submit the form, or contact us for details.