Solestone AI provides custom end‑to‑end AI software that automates business processes and embeds predictive analytics into operational pipelines. The platform includes a managed machine‑learning lifecycle, cloud‑native CI/CD with containerized microservices, and secure API integrations for CRM, ERP, and supply‑chain systems, supporting mobile‑first access and real‑time decision making.
Funding
Funding not disclosed
Founders
Product
Problem
Many enterprises struggle with fragmented workflows, manual data processing, and limited access to scalable AI capabilities, which hampers operational efficiency and slows growth. Existing legacy systems often lack cloud-native architecture and DevOps integration, making it difficult to deploy, monitor, and iterate AI solutions quickly.
Solution
Solestone AI delivers custom, end‑to‑end AI software that automates complex business processes and embeds predictive analytics directly into operational pipelines. By combining machine‑learning model development, natural‑language processing, and intelligent automation with cloud‑native DevOps practices, the platform ensures secure, scalable, and continuously improving deployments. Solutions are built with a mobile‑first approach, enabling seamless access across devices and supporting real‑time decision making. Clients receive a managed AI stack that includes data preprocessing, annotation pipelines, and model monitoring dashboards, reducing reliance on manual effort and accelerating time‑to‑value. Integration points such as RESTful APIs and webhook connectors allow the AI layer to augment existing CRM, ERP, and supply‑chain systems without extensive re‑engineering.
Target Audience
Primary customers include SaaS and technology startups, logistics and supply‑chain operators, professional services firms, and e‑commerce/retail enterprises seeking to embed AI‑enabled automation and analytics into their core processes.
Features
- Custom machine‑learning model lifecycle: data ingestion, preprocessing, annotation, training, and automated retraining pipelines
- AI‑driven process automation engine with rule‑based and reinforcement‑learning workflows for task orchestration
- Cloud‑native CI/CD framework using containerized microservices, Kubernetes orchestration, and automated scaling
- Mobile‑first AI applications (websites, native apps) with on‑device inference support for low‑latency interactions
- Intelligent virtual agents and chatbots powered by NLP optimization and context‑aware dialog management
- Predictive analytics dashboards featuring real‑time KPI visualizations, anomaly detection, and forecasting models
- Secure API layer with OAuth2 and role‑based access control for seamless integration with CRM, ERP, and supply‑chain platforms