SOLDIG provides enterprise AI, DevSecOps, and cloud cost management solutions that help organizations automate decision-making across their technology infrastructure. The company offers autonomous AI agents, intelligent document processing, predictive models, and a no-code automation platform, alongside FinOps practices that convert cloud spending into business decisions. Their approach integrates security from the first commit and uses self-remediable systems to reduce human intervention in critical operations.
Funding
Funding not disclosed
Founders
Product
Problem
Modern organizations operate on increasingly complex technology stacks—cloud, microservices, pipelines, data models, and security controls—where deployment speed outpaces governance. Security controls arrive late, traceability is lost between teams and tools, and operations depend heavily on human intervention for alerts, incidents, and escalations. Cloud costs grow faster than the value they generate, with teams unable to attribute real costs, anticipate deviations, or align consumption with business priorities.
Solution
SOLDIG provides enterprise solutions that embed AI natively into infrastructure to automate decision-making across technology operations. The company designs autonomous AI agents capable of executing complete processes, coordinating among themselves, and making contextual decisions in real time under clear governance rules. Its DevSecOps practice integrates security from the first commit, centralizes and correlates security signals to eliminate false positives, and manages infrastructure as a versioned, auditable asset. For cloud cost management, SOLDIG applies a FinOps discipline that assigns consumption to teams, products, and environments with operational precision, connects cloud usage to business metrics like cost per customer or transaction, and unifies multi-cloud and SaaS costs into a coherent view. The company also offers a no-code automation platform that lets users design applications, AI agents, and business processes using natural language and visual tools.
Target Audience
Primary customers are enterprise organizations with complex technology operations, including heads of operations, SaaS B2B companies, and heads of engineering who need to scale software delivery, control cloud spending, and implement AI with governance.
Features
- Autonomous AI agents that execute end-to-end processes, coordinate with each other, and make contextual decisions in real time with defined control rules
- Intelligent document processing using generative AI to extract actionable insights from unstructured documents such as contracts, invoices, reports, and emails
- Custom predictive and classification models aligned to each organization's specific data, processes, and objectives
- Security integrated from the first commit with automated validation of every change, reducing risk without slowing delivery
- Centralized security signal correlation that filters false positives and focuses on business-impacting risks
- Infrastructure managed as code with versioned, auditable changes for consistency across environments
- Cloud cost allocation with operational precision enabling showback and chargeback practices, plus unit economics connecting consumption to business metrics
- Multi-cloud cost unification across cloud providers, SaaS services, and AI layers for consistent financial governance
- No-code platform for building applications and AI agents using natural language and visual tools