Pushes for the next step on every call, qualification, callback, or close, instead of resolving and ending.
Tone tuned for "make customers feel heard," optimized for empathetic inbound resolution rather than outbound persuasion.
Holds the line on objections instead of escalating to a human, knows the difference between a stall and a real no.
Built for closing tickets and completing workflows, not closing sales conversations.
Reads CRM intent and lead history in the first second, opens the call already calibrated to the lead's profile.
Voice rhythm calibrated for support and back-office tasks like refunds, account changes, and IVR replacement.
Adapts mid-call when leads switch between Hindi, English, Tanglish, or regional dialects without breaking flow.
Limited adaptation when leads push back, negotiate, or stall mid-call, the agent is built to resolve, not to convert.
Conversational rhythm tuned for the energy of an outbound sales pitch, calm under pushback and trained to keep selling.
Trained for the BPO automation use case, not the rhythm of outbound sales conversations across Hinglish, Tanglish, and regional code-mixing.



























Capabilities
SquadStack.ai
Nurix.ai
Focus
SquadStack.ai:
Driving sales conversion and lowering CAC for India's leading consumer brands
Nurix.ai:
Automating enterprise workflows across global teams, with conversational AI as one offering
Scale
SquadStack.ai:
40 lakh+ AI sales calls daily for India's leading consumer brands
Nurix.ai:
High volume on enterprise workflow automation, not on Indian sales
Performance
SquadStack.ai:
90% connectivity, 40% more conversions, 3x lower CAC vs human agents
Nurix.ai:
Strong on enterprise workflows where the metric is task completion and resolution time
POC Success Rate
SquadStack.ai:
93%
Nurix.ai:
Below industry average of 25%
Speech Models
SquadStack.ai:
Proprietary models trained on 600M+ minutes of real Indian sales conversations across Hinglish, Tanglish, and regional code-mixing
Nurix.ai:
No proprietary speech models
Naturalness
SquadStack.ai:
World's first Voice AI to pass the Turing Test, 81% of 1,563 participants couldn't distinguish AI from human
Nurix.ai:
Flat and robotic voice optimized for resolution, not sales persuasion
Channels
SquadStack.ai:
Call + WhatsApp + SMS + In-App, with cross-channel memory persistence so leads never repeat themselves
Nurix.ai:
Voice + chat + SMS + email, deployed as separate channel options
A/B testing
SquadStack.ai:
Built-in controlled experiments on voice, prompt, channel sequence, and timing through the Optimize engine
Nurix.ai:
No A/B testing capability
Long Conversations
SquadStack.ai:
No drift on even 30-turn complex sales calls
Nurix.ai:
Built for short workflows, not long sales conversations
Compliance
SquadStack.ai:
ISO 27001, ISO 27701, SOC 2 Type II, DPDP, TRAI-compliant
Nurix.ai:
SOC 2, GDPR
Best Fit For
SquadStack.ai:
Indian enterprises running voice AI for sales, lead qualification, collections, and customer onboarding at scale
Nurix.ai:
Global enterprises automating workflows end-to-end with AI, across many product offerings
You're running outbound consumer sales in India and want to lower CAC.
You're automating enterprise workflows end-to-end with AI across many functions.
You need voice AI for long, complex sales calls across 8+ Indian languages.
Your KPIs are task completion rate, workflow containment, resolution time, and CSAT.
Your KPIs are conversion lift, CAC reduction, and connectivity.
Your priority is breadth across enterprise AI use cases, not depth on any one job.
You need an agent that holds long calls, remembers leads, and works across channels.
Your team is in the US, Europe, or APAC where Nurix's primary market focus sits.
You want a team of forward-deployed engineers owning your business metrics.

For voice AI driving sales conversion at scale, yes. For end-to-end enterprise workflow automation across global teams, Nurix's platform is built for that broader job. The honest question is which job the platform is being hired for. Nurix automates enterprise work across many AI products and many geographies, with conversational agents as one offering. SquadStack drives revenue at 3x lower CAC for India's leading consumer brands across BFSI, EdTech, E-Commerce, Travel, Healthcare, Automotive, and Logistics.
Track record favors specialized depth on our side. SquadStack runs 40 lakh+ AI sales calls daily across 200+ Indian enterprises including IndiaMART, JustDial, Swiggy, Upstox, AngelOne, BankBazaar, KreditBee, IIFL Finance, TATA AIG, and Eureka Forbes, with voice AI in production since 2017. Nurix's voice agent product launched in June 2025 as one offering inside a broader global AI workforce automation play. The pedigree question matters less when the deciding factor is which platform has more sales call volume to learn from on the specific job you're hiring for.
Single-vendor is operationally simpler, so the question is whether it costs you on the dimension that matters most. For sales conversion, the deciding factor is voice model quality on sales conversations specifically, which depends on training data composition. SquadStack's models are trained on 5M+ hours of real Indian sales conversations. Nurix is model-agnostic by design, orchestrating third-party speech models rather than training proprietary models on sales data. For a team where sales conversion is the priority, the single-vendor convenience is paid for by lower conversion rates per call.
Common pattern. Several enterprises run Nurix or similar horizontal AI platforms for workflow automation, and SquadStack as the voice AI agent that augments or replaces human callers on high-volume sales campaigns. The two products solve different problems and don't conflict. Nurix automates your enterprise workflows across many functions. SquadStack runs your sales floor at 3x lower CAC than human teams.
The POC runs against your actual sales KPIs: connectivity, qualified leads, conversion rate, and CAC. SquadStack runs on the customer's real campaign data and current baseline, with conversion as the contracted KPI. POC success rate has been 93% (23 of 25 structured evaluations) against an industry average of 50-60%. Nurix's voice agent product launched June 2025 inside a broader global AI workforce automation play, with no published POC success rate on Indian sales conversion campaigns specifically.