Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
One of the most persistent challenges in modern software engineering is identifying and resolving bugs early in the development lifecycle.
As AI begins writing a lot more code, traditional QA and code review pipelines will not scale, leading to production failures, wasted developer hours, and delayed releases.
GoML's modular and scalable agentic AI accelerator solves that. The multi-agent agentic AI accelerator includes 4 AI agents to automate the software testing lifecycle. These purpose-built AI agents for software testing integrate and autonomously interact with four of the most popular developer tools - Git, Jira, GitHub, and SonarQube - to enable early detection, consistent quality enforcement, and faster resolution cycles.
Creating personalized content for every learner in a grade is impossible with traditional content creation models.
GoML's multi-agent agentic AI framework is modular and adaptable for edtech and courseware providers who need their own brand-specific content generation engine.
The framework includes a Content Manager agent and multiple specialist agents on Bedrock to generate and validate personalized and high quality images and content for each student's individual reading level in minutes with gen AI.
If you are in edtech, courseware, or exam prep, it is is now possible to get your own AI-first high velocity and brand compliant content engine to deliver highly personalized learning material for individual students and learners.
In financial markets, speed is alpha. The alpha lies in your data streams.
Our AI Data Analytics accelerator for financial markets enables the extraction of real-time insights from petabytes of archive and streaming financial data. It uses a scalable, multi-agent agentic AI framework that converts natural language queries to structured SQL queries. Our integrations with your data stores generates real-time insights for your users.
If your time to decisions is still dependent on analysts writing SQL queries, get your own AI powered data-to-decisions engine built with GoML's AI Data Analytics accelerator for financial markets.
Bring down the cost and time of generating personalized Patient Health plan to within minutes, from months, ingesting data from multiple healthcare data formats, including EHR records, Doctor’s notes and Image scans.
