TOOL · LIVE
AI resume scoring
AI-powered resume scoring and candidate matching platform that analyzes resumes against job descriptions to improve hiring decisions.
Launch toolAI Labs
Live demos. Open-source tooling. Eval harnesses. Things we've built that you can run today.
TOOL · LIVE
AI-powered resume scoring and candidate matching platform that analyzes resumes against job descriptions to improve hiring decisions.
Launch toolTOOL · LIVE
Advanced AI-based computer vision tool designed to detect and identify objects within images automatically.
Launch toolTOOL · LIVE
Advanced AI-powered platform that generates realistic, high-quality food images from user-provided text prompts.
Launch toolTOOL · LIVE
An AI-powered background removal tool that automatically separates foreground objects from the background with high accuracy.
Launch toolTOOL · LIVE
Fast and efficient web-based AI tool to compress and resize images up to 80–90% without losing quality.
Launch toolTOOL · LIVE
AI-powered system that detects violence and nudity in images, enabling safe and automated content moderation in real time.
Launch toolTOOL · LIVE
Smart AI-powered application that generates professional, high-quality, and SEO-friendly menu descriptions instantly.
Launch toolTOOL · LIVE
Intelligent tool that converts long, complex job descriptions into clear, concise, and structured summaries instantly.
Launch toolTOOL · LIVE
Advanced application that instantly generates ATS-optimized professional summaries from PDF, DOCX, and image resumes.
Launch toolTOOL · LIVE
Extract structured menu data—items, prices, and categories—from PDFs and images using advanced AI and OCR.
Launch toolTOOL · LIVE
AI-powered platform that analyzes candidate resumes against job descriptions to generate ATS match scores and skill gaps.
Launch tool# Production agent sketch — Zuplon style from zuplon import Agent, Tool, GoldenSet tools = [ Tool("crm.lookup", schema=Customer), Tool("billing.invoices", schema=Invoice), ] a = Agent( model="claude-sonnet-4-6", tools=tools, budget=12, # max tool calls per turn guardrails=["no_unsourced_claims", "pii_redact"], evals=GoldenSet("goldens/support_v4.jsonl"), ) a.run(turn)
Engineering philosophy
We default to Postgres before exotic vector DBs, Temporal before custom orchestrators, and Claude / GPT before fine-tuning. Where we can be opinionated, we are — to free engineering attention for the things only your domain knows.