Gistly
Subscribe to newsletter
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Level AI and Gistly both use AI to evaluate contact center calls, but they are designed for different buyers. Level AI is a US-headquartered contact center AI platform that increasingly emphasizes virtual agents and real-time agent assist alongside its quality management product. Gistly is a focused AI QA and compliance platform built for mid-market BPOs, with India and multilingual code-switching as core design constraints.
This comparison breaks down where each platform fits, where each falls short, and how to decide between them when you are evaluating an AI QA tool for a 200- to 500-agent contact center.
| Feature | Level AI | Gistly |
|---|---|---|
| Best for | Large US enterprise contact centers buying a full AI suite (QA + virtual agents + agent assist) | Mid-market BPOs (200-500 agents) needing focused QA + compliance + multilingual coverage |
| Product focus | Broadening: AI virtual agent, agent assist, AQM, screen recording | Focused: 100% call auditing + compliance + coaching insights |
| Call coverage | Automated quality management with sampling tier | 100% of all calls audited automatically |
| Languages | English-first, global enterprise focus | 10+ languages including Hindi, Tamil, Telugu, Bengali + native code-switching |
| Compliance depth | Generic compliance monitoring | DPDP Act, RBI FPC, TRAI, PCI, HIPAA-ready |
| Deployment speed | Weeks to months (enterprise implementation) | 48 hours |
| Pricing model | Custom enterprise quote, opaque | Transparent per-agent pricing |
| India presence | Limited; US enterprise positioning | India-first; Indian BPO use cases as design center |
Level AI is a credible enterprise contact center AI platform with real strengths.
Breadth of AI capabilities. Level AI has invested heavily in expanding beyond pure QA. Their AI Virtual Agent and real-time Agent Assist products give large contact centers a single vendor across automation, in-call assistance, and post-call analytics. For a US enterprise running a centralized vendor procurement process, that consolidation is attractive.
Established US enterprise positioning. Level AI ranks well in the US for "contact center AI solutions," "call center analytics software," and adjacent enterprise terms. Their content library is mature. Buyers in the US enterprise segment can find them, evaluate them, and reference customers without difficulty.
Funded growth with active paid investment. Level AI is venture-backed and currently spends meaningfully on paid acquisition. For an enterprise buyer who values vendor stability and runway, that funding profile is a plus.
Solid analytics layer. Their analytics product surfaces sentiment trends, agent performance scorecards, and customer experience metrics in dashboards built for contact center operations leaders.
The same enterprise positioning that works for Level AI's US Fortune 1000 buyers becomes a poor fit for an Indian BPO or a 200- to 500-agent mid-market contact center.
Product attention is shifting away from QA. Level AI's recent push into AI Virtual Agents and Voicebots reflects a strategic broadening. For a buyer whose primary problem is QA coverage, compliance evidence, and coaching, the deepest engineering attention may be going to adjacent products. Pure-play QA platforms like Gistly stay focused on the QA problem.
Limited multilingual and code-switching support. Indian domestic BPOs handle calls in Hindi, Tamil, Telugu, Marathi, Bengali, Kannada, and English, frequently within the same conversation. Level AI's product is built for English-language enterprise contact centers. For a BPO where 40 to 60% of calls involve Hindi-English code-switching, Level AI cannot accurately transcribe or score the majority of conversations.
Compliance is generic, not Indian. Level AI offers compliance monitoring at the generic AI quality management layer. They do not ship pre-built monitoring for the DPDP Act, the RBI Fair Practices Code for collections, TRAI calling-hour rules, or other India-specific frameworks. Indian BPOs serving regulated clients have to configure compliance from scratch.
Pricing opacity. Level AI uses an enterprise sales motion with custom quotes. Mid-market BPOs evaluating multiple vendors against a defined budget cannot self-qualify on the pricing page. By the time you have a quote, you are deep into a sales process. Gistly publishes per-agent pricing.
Implementation timeline. Enterprise platforms ship enterprise implementation timelines. Multi-week to multi-month deployment is common. For a BPO that needs to demonstrate QA visibility to a new client within a quarter, that timeline is a problem.
Gistly is purpose-built for the mid-market BPO use case, with Indian regulatory and language requirements as design constraints rather than afterthoughts.
100% call auditing as standard. Gistly does not sample. Every call gets scored against your QA scorecard, surfaced in reporting, and routed for coaching where required. For a 300-agent BPO running 15,000 calls per day, that is 15,000 scored calls — not the 300 to 750 that manual sampling reaches.
Native multilingual and code-switching support. Gistly transcribes and evaluates calls in 10+ languages including Hindi, Tamil, Telugu, Marathi, Bengali, Kannada, Gujarati, Punjabi, and English. The transcription and scoring engine handles code-switching natively. An agent who delivers a compliance disclosure in English and negotiates the resolution in Hindi is fully scorable on Gistly. On a typical English-only platform, that conversation is partially or entirely unreadable to the QA engine.
India-specific compliance, pre-built. Gistly ships with pre-configured compliance monitoring for the DPDP Act, the RBI Fair Practices Code (including collections-specific rules for NBFCs and FinTechs), TRAI calling-hour restrictions, and PCI/HIPAA where applicable. You do not configure these from scratch.
48-hour deployment and proof. Gistly connects to your telephony or recording platform, ingests calls, and delivers an initial findings report within 48 hours. This is The 48-Hour Proof: the first compliance and quality findings report typically reveals patterns invisible under manual sampling.
Focused product, not a suite. Gistly does QA, coaching, and compliance reporting. We do not sell virtual agents, IVR, dialers, or agent assist. The benefit of focus is depth in the one workflow your QA Manager and Head of Training actually run.
Transparent per-agent pricing. No platform fees. No module add-ons. No "implementation services" that add 30% to year-one cost. The price you see is the price you pay.
100% call coverage in 48 hours
See how Gistly audits every call across 10+ languages with DPDP and RBI compliance built in.
Book a DemoLevel AI sells a suite. Their roadmap allocates engineering across AI Virtual Agents, real-time Agent Assist, AQM, screen recording, and analytics. For a US enterprise buyer who wants one vendor, the suite is a feature.
Gistly is a specialist. We score calls, surface compliance gaps, and feed coaching workflows. If your top problem is "we sample 3% of calls and miss compliance violations," a specialist beats a suite. If you also want to deploy a virtual agent or buy a real-time assist tool, you will pair Gistly with a best-of-breed vendor for that.
This is often the deciding factor for any contact center serving Indian markets, or for a US/UK BPO with offshore Indian operations.
Level AI is English-first. Multilingual support exists at the global enterprise level but does not handle Indian code-switching. Gistly is built around code-switching. The same call that confuses an English-only QA engine — "Sir, your EMI is overdue, kya aap aaj payment kar sakte hain?" — is fully transcribed, scored against the QA scorecard, and surfaced for coaching on Gistly.
Level AI's compliance monitoring is a configurable layer on top of the generic AI quality management product. You build the rules.
Gistly ships with India-specific compliance pre-built. The DPDP Act consent rules, RBI FPC collection conduct rules, TRAI calling-hour restrictions, and recording retention obligations are configured templates. For a BPO operating under Indian regulators, this is hours of configuration versus weeks.
Level AI implementations follow an enterprise pattern: discovery, scoping, integration, scorecard design, pilot, rollout. Multi-week to multi-month timelines are common.
Gistly's deployment is operational, not a project. Connect to your telephony or recording system, configure your scorecard, and the first findings report lands within 48 hours. Full rollout including custom scorecards, integrations, and coaching workflows typically takes 1 to 2 weeks.
Level AI uses enterprise quote-based pricing. You do not see numbers without a sales process.
Gistly publishes per-agent pricing. Mid-market BPOs evaluating multiple vendors against a defined budget can self-qualify, build their TCO model, and decide whether to invest the time in a demo.
Level AI fits a US-headquartered enterprise contact center buying a multi-product AI suite, with a procurement process that tolerates enterprise sales cycles.
Gistly fits a mid-market BPO (200 to 500 agents) — particularly Indian BPOs and any BPO serving Indian end-customers — that needs focused QA + compliance + multilingual depth, with fast deployment and transparent pricing.
Level AI is the right choice if:
Gistly is the right choice if:
Level AI is built primarily for US enterprise contact centers and is English-first in its language support. For Indian BPOs handling Hindi, regional languages, or Hindi-English code-switched conversations, Level AI's transcription and scoring will miss or misread a significant portion of calls. Indian BPOs that need DPDP Act, RBI FPC, and TRAI-specific compliance monitoring also have to configure those rules from scratch on Level AI, where Gistly ships them pre-built.
Level AI uses an enterprise quote-based pricing model. Buyers do not see pricing publicly and must engage in a sales process to receive a quote. Gistly publishes per-agent pricing transparently. For mid-market BPOs evaluating multiple vendors against a budget, transparent pricing materially shortens the evaluation cycle.
Level AI's product is English-first. Native code-switching support — where the AI transcribes and scores a single call that blends Hindi and English mid-sentence — is not a documented core capability. For Indian domestic BPOs where 40 to 60% of calls involve code-switching, this is a meaningful gap. Gistly is built around code-switching as a core design requirement.
Level AI implementations follow an enterprise pattern with discovery, integration, scorecard design, and pilot phases that typically take weeks to months. Gistly delivers an initial findings report within 48 hours of receiving call data. Full rollout including custom scorecards and agency dashboards usually takes 1 to 2 weeks.
Yes. Gistly's 48-hour deployment means switching does not require a multi-month migration project. Connect Gistly to your telephony or recording system, define your scorecards, and begin auditing. Historical scoring data and coaching records can be exported from Level AI and retained as a reference baseline for trend comparison.
For a mid-market BPO (200 to 500 agents), Gistly is the closest specialist alternative with multilingual support and India-specific compliance built in. Other alternatives depend on your priorities: enterprise-scale buyers often evaluate Observe.AI; Indian buyers may also evaluate Convin or MaestroQA. For a fuller landscape, see our guide to the best AI QA tools for BPOs and Observe.AI alternatives.
Ready to see what 100% coverage in 10+ languages looks like on your own calls? Request a demo →
Last updated: April 2026
Gistly audits every conversation automatically — compliance flags, QA scores, and coaching insights in 48 hours.