We’re building the evaluation & safety infrastructure for voice agents in India and the Global South — an API + human network that every serious voice-AI team needs before and after deployment.
Ideal for contact center bots, financial services, healthcare, agri advisory, and multilingual customer support.
We combine a vetted human network with structured annotation so you see where your bot fails, why it fails, and how to fix it.
Native taskers in Hindi, Tamil, Bengali, Odia, Telugu, English variants and more — on low-end Androids, feature phones, and mid-range devices, across quiet rooms, shops, and outdoor environments.
You start by sharing a simple phone number; later you can plug in SIP/WebRTC or an API. We route tagged callers and scenarios to your agent — with no changes to your infra or call flows.
For each call we track intent understanding, task completion, hand-off rates, latency bands, escalation reasons, and a human satisfaction score.
We deliberately probe for code-switching, mis-gendering, hallucinated answers, offensive replies, and cases where rural / lower-literacy users get stuck.
A lightweight workflow that fits into your current roadmap — from first pilot to ongoing regression tests.
We co-design flows (onboarding, FAQ, support, sales, KYC, collections, etc.), target languages/dialects, and success criteria.
You give us a phone number today (SIP/WebRTC or test API later). We plug in our tasker network and tooling — no code changes on your side..
Vetted taskers follow scripted and free-form conversations on real devices, under agreed noise bands and demographics.
We annotate outcomes, compute metrics, and ship a report + optional dashboard and regression test suite for ongoing releases.
You don’t just get “it feels better” — you get hard numbers the product, data, and CX teams can align on.
How often does your agent understand what the user wanted on the first turn — across dialects, accents, and noisy environments?
We triangulate overall comprehension quality from human judgments and transcripts, so you see where ASR or NLU breaks down.
Percentage of users who successfully finish the flow (e.g., policy info, payment link, ticket creation) without human intervention.
Response-time bands (sub-second, 1–3 sec, >3 sec) and average conversation length, broken down by flow and language.
Taskers rate each call on clarity, politeness, and usefulness — giving you a simple score you can push upward over releases.
Flags for hallucinations, mis-gendering, stuck loops, bad hand-offs, or culturally insensitive replies, with concrete call examples.
If you’re shipping or scaling a voice agent that talks to users in India or the Global South, this is for you.
Validate product–market–fit for your bot on real users early, and derisk launches in new languages and regions.
Banks, insurers, telcos, and healthcare providers running critical conversations at scale across India and beyond.
BPOs, CCaaS platforms, and system integrators who need to benchmark agents before deploying to large client bases.
A concrete package of tagged conversations, metrics, and artifacts you can plug into your product and CX roadmap.
We don’t replace your analytics stack — we stress-test your agent with the people and conditions your models often miss.
We’ll respond with a short pilot proposal — scope, timelines, and ballpark pricing.