Hiring is a decision problem
Workflows track movement. Ovii starts with the decision and the evidence needed to make it well.
Our Philosophy
Built to make hiringdecisions clearer.
Hiring has become louder, not clearer. Ovii brings evidence, context, and judgment into one connected system—helping teams make confident decisions without the operational noise.
How we think
Five principles guide how Ovii turns hiring complexity into clear, defensible decisions.
Built for every hiring shape
From first hires and high-volume roles to campus and technical teams, Ovii adapts to your decisions.
Automate the load. Keep the judgment.
Screening, assessment, coordination, and follow-ups should scale. Context, trade-offs, and accountability stay human.
One system, shared context
Planning, sourcing, evaluation, and communication reinforce one another—so context survives every handoff.
Make every decision defensible
Ovii preserves the evidence, context, and ownership behind each choice—so teams can move quickly without losing accountability.
Team
Harsha BN is a co-founder of Ovii and an engineering and product leader with more than two decades of experience building enterprise software and digital platforms. Before Ovii, he held leadership roles at Welldoc, Genpact, and Nokia, working across digital health, intelligent automation, mobile ecosystems, and enterprise operations. At Ovii, he leads product, technology, and overall execution.
Sunayana is a co-founder of Ovii and a product leader with extensive experience building enterprise technology products. Before Ovii, she served as Associate Vice President at eMudhra, working across product strategy, business analysis, quality, and compliance. At Ovii, she leads product vision, platform strategy, and roadmap execution, translating customer and market needs into practical AI-powered capabilities.
Manodyna K H is a co-founder of Ovii who helped shape the company’s early product and AI foundations. She is currently pursuing an M.S. in Computational Linguistics at the University of Colorado Boulder. Her research spans multilingual NLP, cross-script tokenization, and information integrity in large language models, with publications in EACL workshop proceedings and additional work accepted at workshops associated with The ACM Web Conference. In 2026, she and co-author Luc De Nardi received the Best Paper Award at AbjadNLP for their research on the limitations of BPE tokenization across writing systems. She is currently focused on her graduate studies and does not hold an active operating or advisory role at Ovii.
Core Philosophy
Hiring didn't get harder because teams forgot how to judge.
It got harder because the signal got buried — under volume, busywork, and a stack of tools that do not carry context.
Legacy ATS platforms were built to track movement: resumes in, stages out. But hiring does not succeed because candidates "moved." It succeeds because someone made the right call — with the right evidence — at the right moment.
That is why we built Ovii AI-native from the ground up. Not as an add-on, not retrofitted into old workflows. Intelligence is embedded across sourcing, assessments, async interviews, and evaluation — so teams see real signal earlier, reduce guesswork, and spend less time on admin that does not improve outcomes.
"When the system preserves context, teams can move faster without cutting corners. That is where AI should sit: absorbing repetitive work so humans can focus on the calls that actually matter."
We also built Ovii as one connected system, not scattered software. Because hiring does not happen in fragments — but most teams are forced to operate that way: one tool for sourcing, another for assessments, another for interviews, another for coordination.
With Ovii, context carries forward end-to-end. The evidence stays attached to the candidate. The rationale stays visible to the team. Decisions remain traceable from planning to offer — without stitching together five dashboards and expecting them to agree.
So hiring becomes quieter, clearer, and easier to defend. Not more noise. Better decisions.
Let your team focus on what matters.
Replace fragmented spreadsheets, schedulers, and grading tools with one AI-powered platform, so your team can stop chasing workflows and focus on making the right decisions.