Ferret
An End-to-End MLLM that Accept Any-Form Referring and Ground Anything in Response.
Ferret Model - Hybrid Region Representation + Spatial-aware Visual Sampler enable fine-grained and open-vocabulary referring and grounding in MLLM.
GRIT Dataset (~1.1M) - A Large-scale, Hierarchical, Robust ground-and-refer instruction tuning dataset.
Ferret-Bench - A multimodal evaluation benchmark that jointly requires Referring/Grounding, Semantics, Knowledge, and Reasoning.
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GeneXus
Simplify and Automate Software Development with GeneXus
GeneXus is a Low-Code Platform powered by AI that simplifies and automates software creation. By modeling instead of coding, it generates complete solutions—from user interfaces to backends—faster and with less complexity.
With 35+ years of experience, GeneXus helps enterprises build scalable, AI-driven systems, modernize legacy software, and adapt to new technologies without rework.
It supports development across web, mobile, and desktop platforms, seamlessly integrating databases, APIs, and enterprise systems.
Trusted in over 50 countries, GeneXus is a leader in the low-code market.
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IdeaGrit
IdeaGrit has **four different workflows** depending on what you're building — SaaS, physical/local business, service & consulting, or course/education. Each one generates a set of **predefined cards** covering what actually matters for that category.
It surfaces red flags, blind spots, and weak assumptions. It scores the strength of the idea, shows a detailed report, provides an actionable roadmap, and runs a pre-mortem by comparing the idea with six failed products that share similar patterns.
Users can also refine specific red flags. After evaluation, the score and red flags may improve or downgrade depending on whether the core risks have been meaningfully addressed.
IdeaGrit is not built to simply encourage your idea. It is built to pressure-test it before you commit months of time, money, and energy to building the wrong thing.
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KaarbonTech
KaarbonTech is an intuitive infrastructure asset management tool that visualizes and unlocks insights from geographic and inspection data to reduce risk and improve decision making for highway networks and related assets. It connects assets and their surroundings to give users a clear, data-driven view of condition, usage, and maintenance needs, helping to validate condition, audit fieldwork, and create accurate asset inventories that improve work programs, productivity, and maintenance standards. It includes specialized modules such as Gully SMART for drainage condition and flood risk monitoring, Tree SMART for disease and condition surveys, Grass SMART for greenspace activity and seasonal management, and Grit SMART for grit bin usage and public interference tracking. With powerful map-based visualizations and seamless integration of data, it supports proactive maintenance planning, office-to-field communication with real-time data.
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