Agent 01scope
Sprint Inclusion
Reviews committed code against the sprint scope and proves whether the scope was actually implemented.
Evidence + analysis + recommendation
Move AI from idea
to production.
Most AI projects stall between prototype and production. We close that gap, engineering advanced AI systems through our agentic delivery platform and a vetted global network, at a fraction of enterprise cost and timelines.
Trusted by global organizations & funded startups
Save the ChildrenUNICEFUNHCRWFPUNDPCatholic Relief ServicesWorld Resources InstituteENGIEDataCampHanson RoboticsInter-American Development BankIFADUN-HabitatDanish Refugee CouncilSave the ChildrenUNICEFUNHCRWFPUNDPCatholic Relief ServicesWorld Resources InstituteENGIEDataCampHanson RoboticsInter-American Development BankIFADUN-HabitatDanish Refugee Council
Proof, not promises
Browse all case studiesMeasurable results, independently verified.
60+
Countries impacted
300+
Organizations served
600+
AI solutions delivered
99.3%
Partner satisfaction
30000+
AI engineers in network
How we build differentlyThe operating system
The operating system
behind every Omdena build.
Umaku is our agentic delivery platform, and it watches every commit. The moment code is pushed, AI agents review it for scope, quality, DevOps, and bugs, scoring each one with evidence. You get enterprise-grade quality and full transparency, at startup speed.
Scope→Build→Commit→AI Agents Review→QA / Bug Reporting→Docs→Delivery
umaku.omdena.com / dryad-fire-detection / sprint-14
Sprint 14, Review summary
commit a7f3c91, pushed 4 min ago
Sprint Inclusion
Scope verified, 12/12
Code Quality
Score 92 / 100
DevOps
Compliant, 2 tips
Bug Finder
1 medium, fix ready
EVIDENCE, Bug Finder Agent
risk: medium, Unbounded retry loop in ingest/stream.py:142 can exhaust the inference queue under sensor burst.
Recommended fix: cap retries with exponential backoff + dead-letter the failed frame. Evidence: 3 stack traces from load test attached.
To do
Edge model quantization
Alert webhook
In review
Stream backpressure fix
Done
RAG eval harness
Geo tiling
Agent 02quality
Code Quality
Scores code quality with evidence and concrete enhancement recommendations.
Score, 0-100, with rationale
Agent 03devops
DevOps Compliance
Evaluates code against DevOps best practices; highlights strengths and key improvements with evidence.
Compliance + improvement list
Agent 04bugs
Bug Finder
Uncovers bugs with risk level, evidence, analysis, and a recommended fix.
Risk-rated findings + fixes
What we build
All servicesA technical AI execution partner, end to end.
AI Development
End-to-end build of production AI systems, from architecture to deployed, monitored models.
ExploreHire AI Developers
Dedicated, vetted AI engineers and squads embedded with your team.
ExploreAI Capacity Building
Hands-on programs that help your team build, deploy and own practical AI.
ExploreAI Research & Development
Applied research, prototyping and validation for difficult AI problems.
ExploreDatasets
Custom data collection, annotation and verified labeled datasets.
ExploreData Engineering
Reliable pipelines, integration and analytics-ready data foundations.
ExploreShipped & in production
All case studiesReal systems. Measurable outcomes.
Environment · Edge AIFrom AI Ultra-Early Fire Detection to €10.5M of Funding
How Dryad Networks used edge AI to detect forest fires at their earliest stage.
Read case study
Healthcare · Geospatial AIOmdena Startup Partner Zzapp Malaria Wins the $5M IBM Watson AI XPRIZE
AI and geospatial optimization supporting malaria elimination campaigns at scale.
Read case study
Insurance · Computer VisionMyCover.ai: Elevating Vehicle Insurance with AI
An AI claims-evaluation workflow that dramatically reduced processing time and errors.
Read case studyTechnical depth
Capabilities we ship in production
Full-stack AI engineering, from data pipelines to deployed, monitored models.
Generative AI / LLM systemsAI AgentsRAG pipelinesComputer VisionNLPData & ML EngineeringEdge AIGeospatial AIPredictive AnalyticsMLOps / DevOps
Industries
All industriesDomain depth where it matters.
In their wordsJohn ZoltnerSenior Advisor, Technology for Development & Innovation, Save the Children Kathryn M. Clifton, PhDGlobal Data Analytics & Reporting Lead, Catholic Relief Services Andreas RegneryCo-Founder, Belyntic
Partners who trusted us to deliver.
“Extremely promising project results, not just for Save the Children, but for the entire field of actors.”
“Collaborative AI enables robust AI solutions through sharing knowledge, perspectives, and promoting diversity and inclusion.”
“Leveraging AI prediction for our ambitious goals of developing next-generation immunotherapies.”
Let's build the AI system you've been scoping.
Talk to an Omdena solutions architect and see exactly how Umaku would plan, build, and verify your system, with full transparency from day one.