Hire at the speed of thought
Akata
AI-powered smart hiring for campus recruitment. Fair shortlists for recruiters, real feedback for students.
Four steps to a fairer shortlist
AI handles the heavy lifting. The final decision always rests with humans.
Smart Matching
Resumes and job descriptions are matched semantically — beyond keyword overlap.
Adaptive Test
Personalized questions that adjust difficulty based on real-time performance.
AI Interview
A natural AI avatar conducts a conversational interview with adaptive follow-ups.
Rubric Scoring
Every response scored against a structured rubric. Explainable, auditable, fair.
What makes Akata different
Semantic Matching
Surfaces the right candidates even when wording differs — beyond keyword overlap.
Adaptive Testing
Difficulty self-adjusts in real time for a fairer signal from every candidate.
Interactive Artifacts
Questions delivered as dynamic visual components — diagrams, code, widgets.
AI Avatar Interview
A lifelike AI avatar conducts conversational interviews with adaptive follow-ups.
Not your typical test
Every candidate gets a personalized, interactive assessment — generated fresh from their background. No two candidates see the same test.
Improve this architecture — redesign it to handle 10× the traffic.
1 from fastapi import FastAPI
2 from redis import asyncio as aioredis
3
4 app = FastAPI()
5 redis = aioredis.from_url("redis://cache:6379")
6
7 @app.get("/portfolio")
8 async def get_portfolio():
9 # TODO: add caching layer
10 cached = await redis.get("portfolio")|Recruiters get a tight, ranked shortlist — not a flood of mediocre matches.
Recruiters get rubric scores. Candidates get a personalized improvement report.
Structured rubrics minimize bias. Every score is explainable and auditable.
Scored fairly, every time
Every response is scored against five weighted categories — not raw AI judgment. Outcomes are explainable and consistent across candidates.
Built for both sides
Fairer Evaluation
Scored on actual skills and projects — not just resume keywords.
Actionable Feedback
Get a detailed improvement report after every assessment.
Higher Visibility
Good performers reach human interviewers instead of being filtered out.
About Akata
Hiring should be fair, fast, and useful — for everyone.
Campus recruitment is broken. Recruiters miss good candidates because keyword filters can't see past resume wording. Students get rejected without ever knowing why. We built Akata to fix both problems at once — by combining AI-driven matching, adaptive assessments, and structured rubrics into one platform that works for both sides of the hiring table.
- Recruiters manually screen hundreds of resumes and still miss good candidates.
- Traditional ATS filters reject strong applicants over missing keywords.
- Students get generic rejections with zero feedback to improve.
- Initial screening is slow, biased, and expensive.
- Semantic matching surfaces the right candidates — even when wording differs.
- Adaptive assessments reveal real understanding, not memorization.
- Every candidate receives a personalized improvement report.
- Initial screening is automated, structured, and fair.
What we stand for
Fairness First
Every candidate is evaluated against the same structured rubric. No bias, no black boxes — just explainable scores.
Human in the Loop
AI handles the heavy lifting, but the final decision always rests with human recruiters. We augment, never replace.
Candidates Are People
Rejected doesn't mean forgotten. Every candidate gets actionable feedback to grow — closing the loop on every application.
Built for Both Sides
Better shortlists for recruiters AND real improvement for students. A platform designed as a win-win, not a one-way filter.
Let's talk
Whether you're a recruiter, a student, a college placement cell, or just curious — we'd love to hear from you.
Build a fairer
hiring pipeline.
Be first in line when Akata launches. Get early access to semantic matching, adaptive tests, and rubric-based scoring — powered by a hybrid local + cloud architecture.