Podas provides an integrated platform that automates repetitive workflows for small and mid‑size enterprises using robotic process automation, API connectors, and OCR to convert fragmented data into structured, queryable assets. The platform layers machine‑learning, NLP, computer‑vision and generative AI to deliver predictive analytics, sentiment insights and automated content creation, available through subscription plans or custom implementation projects.
Funding
Funding not disclosed
Founders
Product
Problem
SMEs often rely on manual, rule‑based processes and fragmented data sources, leading to high labor costs, error‑prone operations, and limited ability to extract actionable insights. The lack of affordable, scalable automation and AI tools prevents these businesses from improving efficiency and forecasting accuracy.
Solution
Podas delivers an integrated suite of digital automation, data‑management, and AI‑driven services tailored to the needs of small and mid‑size companies. The company maps existing workflows, structures raw data into clean, queryable assets, and then applies robotic process automation (RPA), API integration, and OCR to eliminate repetitive tasks. With a layered AI stack—including machine‑learning models, natural‑language processing, computer‑vision, and generative AI—Podas generates predictive analytics, sentiment insights, and automated content creation. Solutions are delivered as custom builds or via subscription plans that include implementation, cloud‑hosted analytics, and ongoing support, allowing clients to adopt advanced technology without large upfront investments.
Target Audience
Primary customers are small and medium‑size enterprises across sectors such as finance, manufacturing, retail, and professional services that need to automate repetitive processes, organize data, and leverage AI for forecasting and customer insights.
Features
- RPA bots that mimic user actions across legacy applications, reducing manual data entry and click‑through work.
- API‑based system‑to‑system connectors for real‑time data synchronization between ERP, CRM, and other business platforms.
- OCR engine that extracts structured data from scanned documents, invoices, and handwritten notes.
- Data‑structuring and migration services that consolidate disparate sources into a unified, queryable database.
- Custom dashboards and BI reports that visualize key performance indicators and support decision‑making.
- Machine‑learning pipelines for demand forecasting, churn prediction, and predictive maintenance.
- NLP modules for sentiment analysis, contract clause extraction, and AI‑powered chat assistants.
- Computer‑vision models for image‑based quality inspection and KYC document verification.
- Generative AI tools for automated report writing, marketing copy, and code snippets.
- Subscription‑based access to cloud analytics, role‑based security, and SLA‑backed support.
- Flexible payment terms (monthly starter plan, annual growth plan, or bespoke contract) and optional maintenance packages.