Top Builders

Explore the top contributors showcasing the highest number of app submissions within our community.

Mistral AI

Mistral AI develops a wide spectrum of AI models and services, enabling developers, researchers, and businesses to build, deploy, and fine-tune large language and multimodal models.
The company focuses on open weights, reasoning capability, multimodality, and enterprise-grade features such as long context windows, domain-specific deployments, and fine-tuning options.

General
Founded2023 (Paris, France)
FoundersArthur Mensch, Guillaume Lample, Timothée Lacroix
Valuation~€14 billion (Series C, September 2025)
InvestorsASML (largest shareholder), Microsoft, CMA CGM, others
TypeLarge language and multimodal models

Mistral Models

Mistral divides its lineup into open models (weights freely available) and premier models (API-first, enterprise-grade).
Here are the most important families:

  • Mistral 7B – Compact, open-weight dense model for efficient deployment.
  • Mixtral 8×7B / 8×22B – Sparse mixture-of-experts models balancing performance and cost.
  • Mistral NeMo 12B – Strong open-weight model for multilingual and reasoning tasks.
  • Codestral – Code-oriented models for software engineering and developer tools.
  • Pixtral – Multimodal family supporting text + image inputs (e.g. Pixtral-12B, Pixtral Large).
  • Magistral – Reasoning-focused models; Magistral Small (open-weight) and Magistral Medium (enterprise).
  • Mistral Medium 3 / 3.1 – Premier multimodal models with ~131K context length, enterprise-grade APIs.
  • Mistral Large / Large 2 (123B) – Very large dense models with long context, available via API.
  • Specialized Models – OCR models (e.g. mistral-ocr-2503), embeddings, moderation, and speech (Voxtral).

La Plateforme

Mistral provides its own developer and enterprise platform, called La Plateforme, where you can:


Mistral AI - Boilerplates

Get started quickly with open-weight or API integrations:


Mistral AI - Tutorials

Learn how to build with Mistral’s models:


Mistral AI

Most important links to explore Mistral’s ecosystem:


Mistral AI AI technology page Hackathon projects

Discover innovative solutions crafted with Mistral AI AI technology page, developed by our community members during our engaging hackathons.

ReguLattice - Local Sovereign GRC Engine

ReguLattice - Local Sovereign GRC Engine

ReguLattice is a sovereign GRC (Governance, Risk, and Compliance) platform designed for enterprises in highly regulated, high-stakes, or national security sectors. Modern automated compliance tools are built on cloud-first SaaS models. They require organizations to connect their live databases and code repositories to third-party public clouds, which violates data localization regulations such as US CMMC 2.0, Saudi SAMA, and Pakistan's SBP. ReguLattice solves this by operating as a fully air-gapped compliance engine that runs locally inside the client's secure virtual private cloud. The system operates on three core principles: Private Local Compliance: All document analysis, mapping, and audit logging occur fully offline. Sensitive files never leave the organization's network, ensuring absolute protection of corporate intellectual property and data sovereignty. Cross-Compliance Graph: Our architecture maps a single technical evidence record to overlapping controls across multiple frameworks (like ISO 27001, ISO 42001, and regional banking guidelines), eliminating redundant audit efforts and speeding up verification. Custom Governance Console: The platform allows risk teams to align private offline intelligence with their company's custom internal policies and historical audit registries. By automating evidence gathering and compliance scoring locally, ReguLattice brings modern automation to the defense, financial, and critical infrastructure sectors without compromising security or sovereignty.

CodeSage — AI DevSecOps Intelligence

CodeSage — AI DevSecOps Intelligence

CodeSage is an enterprise-grade AI-powered DevSecOps and deployment intelligence platform built for the Web Data UNLOCKED hackathon. Traditional static analyzers detect vulnerabilities in isolation using stale databases and limited contextual awareness. CodeSage goes significantly further by combining AI-powered code reasoning with realtime web threat intelligence to determine whether software is truly safe for production deployment. The platform acts as an autonomous CI/CD security gatekeeper. Users can upload ZIP repositories or connect GitHub projects directly. CodeSage recursively analyzes multi-file, multi-language codebases using a specialized multi-agent architecture powered by OpenRouter models including Llama 3.1, Mistral, and DeepSeek. The platform detects: * OWASP vulnerabilities * runtime risks * insecure dependencies * hardcoded secrets * SQL injection vulnerabilities * weak cryptography * insecure upload flows * architectural security risks * deployment blockers What makes CodeSage unique is its integration with Bright Data’s realtime web intelligence infrastructure. When vulnerabilities are detected, CodeSage uses: * Bright Data SERP API * Web Unlocker * Scraping Browser to investigate live exploit activity across CVE databases, GitHub advisories, security discussions, and protected vulnerability sources across the public web. This enables the system to determine: * whether a vulnerability is actively exploited, * whether dependencies are associated with live CVEs, * and whether production deployment should be blocked immediately. CodeSage then: * generates AI-powered remediation patches, * updates realtime security scores, * streams live scan progress using Supabase Realtime, * and delivers a final deployment verdict: * PASS * WARN * BLOCK By combining autonomous AI reasoning with realtime web intelligence, CodeSage transforms security from a reactive bottleneck into a live deployment intelligence system for modern software teams.