Job Description (JD) Matching Agent
Our AI agent automatically screens, scores, and matches 100% of candidates against your job description, instantly delivering a ranked shortlist of the most qualified talent.
How SimplAI Automates Talent Screening
Understand Your Job Description (JD) Deeply
- Parses and understands nuanced skill requirements
- Auto-builds a weighted scorecard based on your JD
- Calibrates against successful hires in similar roles
Score Every Candidate, Objectively
- Matches "Senior Java Developer" to "Software Eng. IV (Java)"
- Quantifies years of experience in required skills
- Provides a consistent, unbiased score for every applicant
Rank & Shortlist Your Top Talent
- Delivers a "Top Matches" list directly to your recruiter
- Summarizes why each candidate is a strong fit
- Flags high-potential candidates who just miss the cut
Re-discover Your Internal Talent Pool
- Scans your entire ATS for qualified past applicants
- Identifies current employees ready for their next role
- Surfaces qualified, pre-vetted talent instantly
Ready to Hire Based on Skill, Not Keywords?
Stop letting great candidates get lost in your ATS. Deploy the SimplAI JD Matching agent in weeks and give your recruiters the power to engage the most qualified talent, faster.
Built for Talent Acquisition Teams
Adapts to your processes. Handles screening end-to-end. Works 24/7.
Scales Like Software
Scores 10,000+ candidates against a new req in minutes with perfect consistency.
Built for Hiring
Trained on millions of JDs, resumes, and successful/unsuccessful hiring decisions.
Integrated With Your Stack
Works with Greenhouse, Lever, Workday, Taleo, iCIMS, and all major Applicant Tracking Systems (ATS).
Compliant by Design
Ensures every screening decision is objective, explainable, and auditable for EEO/OFCCP compliance.
Instant Quality Lift
Go live in 4 weeks and see a measurable improvement in the quality of candidates your team interviews.
Trusted by Industry Leaders
SimplAI has fundamentally changed how we approach AI adoption inside the organization. Instead of running isolated experiments with different models and tools, we now have a unified platform to build, orchestrate, and govern AI agents across multiple business workflows.
What stood out for us was the platform's ability to handle enterprise requirements - security, governance, and observability - while still allowing teams to rapidly prototype and deploy AI solutions. SimplAI helped us move from fragmented AI initiatives to a scalable AI operating model
We chose SimplAI for its agentic operating system and enterprise-grade reliability. Today, we run multiple agents across GTM, operations, and customer support — all on a platform that scales and deploys securely on private clouds. The support from the team has been exceptional.
SimplAI has fundamentally changed how we approach AI adoption inside the organization. Instead of running isolated experiments with different models and tools, we now have a unified platform to build, orchestrate, and govern AI agents across multiple business workflows.
What stood out for us was the platform's ability to handle enterprise requirements - security, governance, and observability - while still allowing teams to rapidly prototype and deploy AI solutions. SimplAI helped us move from fragmented AI initiatives to a scalable AI operating model
A long list of good AI use cases is not an AI strategy. At ARU, we wanted a platform that could support meaningful operational improvements across the business, rather than adding a different point solution for every task.
That is one of the reasons we selected SimplAI. We are already working with their team to build agentic workflows around statement of values processing, loss runs, and underwriting audit. Their team brings genuine insurance domain expertise to the work, which means we can spend less time explaining the fundamentals of insurance workflows and more time solving the operational problems within them.
SimplAI has approached the relationship as a strategic partner, combining that industry knowledge with an impressive ability to build and iterate quickly. We are excited about what we are building together and the broader opportunity to thoughtfully apply agentic AI across different areas of our operations at ARU.
SimplAI is helping us address customer challenges at scale using AI, without the need to build an in-house AI engineering team. Even before going live in production, SimplAI has shown its value through its robust capabilities and consistent support for our goals. Their responsive and dedicated approach has made them a reliable partner in advancing our AI initiatives.
Secure infrastructure alone is not enough. Enterprises need the full stack — governed AI agents running inside a deployment model that never compromises their security posture. Pairing Zeblok’s Ai-MicroCloud with SimplAI’s orchestration layer means enterprises no longer have to choose between capability and control. Furthermore, our ability to offload to Flash memory means significant reduction in GPUs when managing user context.
With SimplAI, Lawyered isn't just embracing AI, we're redefining the legal landscape. By seamlessly integrating cutting-edge technology with our mission to democratize legal access, we're not only streamlining processes but also ensuring data security and privacy. SimplAI isn't just a platform, it's a catalyst for innovation.
As a sovereign big data technology provider, Saal's DigiXT platform is trusted by enterprises and government entities to manage, govern, and get value from their data at scale. DigiXT has a wide ecosystem of technology partners, and SimplAI's agentic AI platform is now integrated into it, giving our customers another option for building Agentic solutions on their data.
The engagement has been collaborative and constructive throughout. The SimplAI team has been responsive, capable, and open to feedback, which made the integration smooth. We look forward to continuing this partnership.
