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AgroGensis Empowering formers and securing Food
An autonomous ML research agent that experiments, learns from failures, and improves recommender systems with minimal human intervention.
A local-first conversational shopping agent that tracks changing intent and finds the right product earlier.
Spots AI-generated images even after the internet has chewed them up. Point it at a folder and it scores every file, offline, with the false-positive rate calibrated so real photos aren't accused.
A backend Bouncer that separates an AI Agent's identity from its human's revocable authority.
Ask better. Rank earlier. Adapt when intent changes.
Give it a benchmark and walk away. An agent that does the part of ML research nobody enjoys: 40 experiments at 2am. It found a feature we'd missed, and stopped itself when it stopped learning.
Ele is a robust AI-generated image detector built to spot synthetic media even after it has been degraded by real-world manipulations like JPEG compression, blur, resizing, and noise.
An autonomous ML research agent that proposes hypotheses, edits recommender code, trains and evaluates candidates, and learns from signed results with zero manual intervention.
Turn your codebase into a living 3D clan where AI agents build, fix, and evolve your code.
RobustFake detects AI-generated images—even after resizing, compression, cropping, blur, and reposting.
An autonomous recommender research agent that safely proposes, tests, and audits model improvements inside an isolated sandbox.
Local-first AI coding harness: a Next.js control plane pairs with the clancode CLI on your machine. TrueForge runs agents locally; the clan village visualizes real RunEvents
A multi-turn shopping copilot that understands evolving intent and finds the right product faster.
RIFT detects AI images after compression, blur, resizing and reposting. It combines frozen CLIP with forensic signals and uses a fixed low-FPR threshold for realistic social-media evaluation.
Same outputs, 7.1x faster: hand-tuned Triton kernels and CUDA graphs for Transformers on a Tesla T4.
We gave an AI agent a dataset and a scoring rule without hints. It proposed, coded, and tested its own recommender models, which beat the official baseline entirely on its own.
Agent Trust Gateway enables agents to collaborate across teams without exposing private agents or files, using owner-approved, scoped, revocable, one-use access enforced and audited by middleware.
An auditable autonomous ML research loop that iterated from the officialKuaiRand-Pure FM baseline to a validation-selected DIN-lite/FM rank ensemble.
No Cost high-precision conversational e-commerce search delivering 98% hit rate in under 3 turns at sub-50ms latency.
AI-image detectors often fail after images are compressed, resized, or reposted. InvariantGuard keeps working anyway.
An offline conversational shopping agent that understands evolving preferences, handles Intent Override, and returns reliable Top-10 recommendations every turn.
Built for the moment agents and humans start sharing the same web pages
RecommenderForge autonomously tests ranking ideas, learns from validation, recovers from failures, and ships checkpoint-backed predictions—making recommender research fast, safe, and easily traceable.
