Unolabs
Unolabs is an enterprise intelligence engineering firm that designs, builds, and transfers governed cloud data platforms and production AI systems. The company delivers its first production wave in 16–24 weeks using accelerator-led engineering, with data quality SLOs and observability enforced on every pipeline. Unolabs specializes in deep SAP modernization, bridging SAP ecosystems with Azure, Databricks, and modern cloud foundations.
- Enterprise Software
- Artificial Intelligence
- Data & Analytics
- Software Only
- AI Agents
Funding
Founders
Founder details are not available yet.
Product
Problem
Large enterprises often struggle to move AI initiatives from pilot to production, hampered by fragmented data systems, stalled modernization programs, and multi-year consulting engagements that deliver slide decks rather than working code. AI deployments without proper governance create operational risk, and traditional consulting models leave organizations dependent on external vendors long after the engagement ends.
Solution
Unolabs designs, builds, and transfers governed cloud data platforms and production AI systems that enterprises fully own. The company delivers its first production wave in 16–24 weeks by combining accelerator-led engineering with architecture-first methodologies. Unolabs enforces data quality service-level objectives on every pipeline and embeds observability across all production systems, ensuring reliability and compliance. Engagements are outcome-driven, producing production code and infrastructure rather than frameworks, and conclude with the client's team independently operating the platform without vendor dependency.
Target Audience
Primary customers are enterprise data and IT leaders at large organizations who need to modernize fragmented data estates, implement governed AI, and achieve production outcomes rapidly across industries such as consumer packaged goods, utilities, banking, manufacturing, retail, and healthcare.
Features
- Accelerator-led engineering delivery that compresses time-to-production to 16–24 weeks for the first production wave
- Architecture-led evolution with governance-first modernization, embedding metadata governance and compliance controls into the operating model
- Data quality SLOs enforced on every pipeline, with real-time observability systems for operational resilience
- Deep SAP modernization capability spanning S/4HANA transformation, BW warehousing, data integration, and BI BusinessObjects
- Interoperable ecosystems bridging SAP, Azure, Databricks, and modern cloud foundations
- Metadata-driven automation that adapts pipelines automatically when source schemas change
- Sovereign residency deployment within client VPCs and regions, keeping data and compute within regulated boundaries
- Agent-ready semantic layers and reasoning loops designed for autonomous agent execution