Filtered.ai is a technical assessment and interviewing platform that helps companies evaluate engineering candidates faster and more consistently. If you already have applicant volume and your bottleneck is engineers burning hours on early-stage screens, it's a genuinely strong tool. Here's an honest look at what it does well and where you'll want to plan around it.

Filtered is a Boston-based skills-validation platform founded in 2016 (Crunchbase). In March 2022, former Jobvite and Yahoo! HotJobs CEO Dan Finnigan joined as CEO alongside a $10 million financing round led by AI Fund, Silicon Valley Data Capital, and TDF Ventures (GlobeNewswire). The company reached roughly $3.5M in revenue with a team of about 26 in 2025 (GetLatka). The important thing to understand up front: Filtered is an assessment platform, not a talent marketplace. You bring your own candidates, and Filtered gives you the infrastructure to evaluate them at scale. It's the layer that makes screening cheaper and more standardized once your pipeline already exists.

Filtered's core is job simulations, recorded video responses, identity validation with government ID checks, AI-powered fraud monitoring, and video conferencing with embedded coding tools for live, interactive interviews (Yahoo Finance). Candidates work through role-specific, objective assessments; the platform scores and ranks them so recruiters can prioritize. The numbers customers report are the real draw. Filtered cites an average 4x faster time-to-hire and a 2x better interview-to-hire ratio, saving thousands of interview hours per year, at customers including Procter & Gamble, Informatica, and Rocket Mortgage (Yahoo Finance). At the time of the 2022 raise, the company reported interview-to-hire improving from 17% to 58% and time-to-fill cut by 3x on average (GlobeNewswire).

Enterprise-grade integrity controls. ID verification, AI-powered fraud monitoring, and even ChatGPT-use detection during assessments make Filtered a serious fit for regulated, high-volume employers who need defensible, consistent evaluation (Yahoo Finance). Job simulations over trivia. Rather than abstract puzzles, Filtered leans on simulations of the actual work, including a prompt-engineering simulation that scores how well candidates write prompts for large language models. That's a modern, work-sample approach to measuring skill. Proven at scale. Names like Cigna, Enterprise Holdings, the Federal Reserve Bank, Informatica, and Rocket Mortgage tell you what Filtered is built for: large applicant pools where standardizing evaluation saves real money and hours (GlobeNewswire). Fits your existing stack. Filtered integrates with applicant tracking systems like Greenhouse, so it slots into a recruiting process you already run instead of replacing it.

It evaluates the candidates you bring. Filtered makes screening faster and fairer, but the pipeline is still yours to build. If your challenge is finding senior engineers in the first place, you'll want a sourcing strategy layered on top of the assessment. It's a tool your team operates. Filtered gives you the infrastructure; your recruiters and engineers still design the assessments, run the loop, and make the call. That's exactly right for teams with the bandwidth to own the process, and worth planning for if yours is lean. Best fit is volume. The platform's ROI compounds with scale. A team hiring three engineers this quarter gets less leverage from it than one screening thousands of applicants a year.

Here's the thing an assessment platform can't do for you: the engineers you most want to hire aren't in your applicant pool to be tested. The best ones are already working — booked on a contract somewhere else, heads-down, not applying, not sitting in a queue waiting to take your simulation. Nextdev reaches the top 1% of AI engineers — the ones who aren't looking. We find them, then we give each a real problem to build and watch how they actually work, so you know they're AI-native because you've seen it, not because a score said so. When you want one, we employ them for you. One named engineer; the contract, payroll, and compliance never touch your desk. That's the difference in one line. Filtered is a test you run on the people who show up. Nextdev is a partner who finds the engineer, proves the work, and handles the employment. You're not picking from who signed up. You're getting the engineer who never would have.

Filtered.ai is a legitimately good technical assessment platform, and for an enterprise drowning in applicants it can turn weeks of screening into hours. If your bottleneck is evaluating a pipeline you already have, it earns its place. If your bottleneck is landing AI-native engineers who were never going to apply in the first place, that's a different job, and a different kind of partner.