OVI is the AI-native ATS where you chat to hire. Two AI agents — Sora for sourcing and Milo for screening — find candidates, score every CV, and run AI interviews, all controlled from a single chat.

What does "chat to hire" mean?

Chat to hire is OVI's AI-native hiring workflow: instead of clicking through a traditional ATS, you describe what you need in chat and OVI's AI agents source candidates, screen applicants, run AI interviews, and send outreach for you.

What is an AI-native ATS?

An AI-native ATS is an applicant tracking system built around AI agents rather than forms and pipelines. OVI's AI chat ATS lets recruiters source, screen, interview, and follow up through conversation — the agents do the work and surface only the candidates worth meeting.

Who are Sora and Milo?

Sora is OVI's AI sourcing agent — she scans LinkedIn, the open web, and your ATS history to find best-fit candidates and reach out in your name. Milo is OVI's AI screening agent — he scores every applicant against your rubric and surfaces a ranked shortlist.

How do OVI's AI interviews work?

OVI runs async AI interviews for every shortlisted candidate and returns scores, transcripts, and recordings — so your team only meets the people worth meeting.

Why UAE’s Falcon LLM Belongs in Your Business AI Strategy

2025-07-17

Introduction

Open-source AI is not just a research topic—it’s fast becoming a strategic business asset. The Falcon large language models (LLMs), developed by Abu Dhabi’s Technology Innovation Institute (TII), are leading the charge for trustworthy, enterprise-grade, and cost-effective AI that businesses can control and customize.

Integrating Falcon LLM into your organization means more than adopting a new tool—it’s about gaining AI sovereignty, reducing costs, and unlocking new digital opportunities.

What Is Falcon LLM?

Falcon is a suite of open-source large language models (from 1B to 180B parameters) developed in the UAE, available for text, code, vision, and even Arabic language tasks.
It’s backed by a $300M Falcon Foundation, a global ecosystem, and deep collaboration with cloud providers (AWS, NVIDIA).
Falcon consistently ranks at the top of global benchmarks—beating similarly sized models like LLaMA and Mistral in speed, efficiency, and performance for many business applications.

With more than 55 million downloads and wide enterprise adoption, Falcon is not a prototype—it's production-ready.

Business Advantages of Falcon LLM

Cost Efficiency: Avoid expensive per-use API fees from US AI giants. Falcon models are optimized for resource efficiency and can run on local servers or private clouds.
Customization: Tailor the model to your business, language, or sector. Train on your proprietary data for better relevance and accuracy—unlike off-the-shelf global models.
Multilingual & Multimodal: Falcon offers best-in-class Arabic support and can handle multiple languages, images, code, and even audio for advanced enterprise workflows.
Performance: Falcon models (especially Falcon 3, Falcon H1, and Falcon Arabic) routinely outperform competitors of similar size in core tasks: summarization, classification, customer support, document processing, and more.

“Falcon is a strategic asset for any business seeking future-proof, compliant, and transparent AI integration.”

Where Businesses Are Using Falcon LLM

Customer Service: Automated chat, support, and complaint management—24/7, in Arabic and English.
Document Automation: Summarizing, classifying, and extracting information from business documents, legal texts, and contracts.
Internal Knowledge Management: AI-powered search and knowledge bases for staff, with data residency and compliance guaranteed.
Marketing & Content: Content generation, translation, and campaign optimization—tailored to local and regional needs.
Sector-Specific AI: Use cases in finance (compliance), logistics (tracking), government (citizen services), and agriculture (decision support)—all already in pilot with Falcon.

With Falcon, enterprises gain both global competitiveness and full alignment with local data regulations.

Why Choose Falcon Over Other Open Models (LLaMA, Mistral)?

Superior Arabic and multilingual performance: Falcon Arabic is the region’s leading language model for MENA languages and dialects.
Proven efficiency: Falcon outperforms LLaMA and Mistral of similar sizes in many business-relevant benchmarks, and its hybrid architecture (Falcon H1) means faster results on standard hardware.
State-backed reliability: The Falcon Foundation guarantees continued development, transparency, and support—making it less risky for long-term business planning.
Flexible deployment: Use Falcon on AWS, NVIDIA platforms, or on-premises, including integration with enterprise tools and secure data workflows.

How to Get Started

Identify high-impact workflows: Start with customer service, document processing, or internal knowledge tasks.
Consult your IT and compliance teams: Ensure the deployment matches your privacy and regulatory needs.
Leverage the Falcon ecosystem: Access models, documentation, and community support on Falcon’s official portal and Hugging Face.
Experiment, fine-tune, scale: Start small with a pilot—Falcon models are optimized for easy testing and quick wins. Scale as you validate value.

Integrating Falcon LLM gives your business a secure, future-ready AI edge—without sacrificing control, compliance, or customization. In the new era of open AI, Falcon is the strategic choice for innovative enterprises.