Information in this comparison reflects publicly available data as of March 2026. Features and capabilities may have changed since publication.

Key Takeaways

• Hamming vs Cekura is a choice between audio-native evaluation depth and self-serve accessibility -- and a question every voice AI testing team faces in 2026. Hamming leads with audio signal analysis and production call replay. Cekura leads with $30/month self-serve pricing and Conditional Actions for deterministic testing. This analysis by Coval covers both platforms' voice agent evaluation capabilities.
• Hamming has no public pricing and requires a sales conversation. Cekura publishes a Developer tier at $30/month with a 7-day free trial, though voice testing costs (5 credits/minute) are not prominently displayed on the pricing page.
• Hamming's co-founder CTO departed to Anthropic by early 2026. Cekura's three co-founders remain intact and actively building.
• As of Q1 2026, Hamming claims 1,000+ concurrent simulations. Cekura claims 2,000+. Both numbers are self-reported.
• Both platforms are YC-backed (Hamming S24, Cekura F24) and primarily serve voice AI teams building on Vapi, Retell, and similar infrastructure.

What Is Hamming?

Hamming (legally Forward Inc.) is an automated QA and production monitoring platform for AI voice and chat agents, positioned as "the flight simulator for voice agents." Founded in 2024, YC S24 batch, with $4.3M in seed funding led by Mischief (announced Q4 2024). Hamming's differentiated claims include audio-native evaluation (analyzing audio signals directly, not just transcripts), 1,000+ concurrent call simulation, production call replay, and DTMF/IVR emulation.

Named customers include Podium, Bland Labs, 11x, Smith.ai, and Luma Health. The platform holds SOC 2 Type II (certified December 2025) and HIPAA compliance.

What Is Cekura?

Cekura (formerly Vocera, legally Tatva Labs Inc.) is a YC F24-backed automated QA and observability platform for voice and chat AI agents. Founded in 2024 by three IIT Bombay co-founders with backgrounds in quantitative trading, Google NLP research, and enterprise consulting. Cekura raised $2.4M in seed funding.

Cekura differentiates with a credit-based self-serve model starting at $30/month, Conditional Actions (a rule-based testing engine that reduces LLM evaluation flakiness), 2,000+ concurrent simulations, and an MCP server for IDE-native integration. Named customers include Twin Health, Confido Health, Lindy, and Mindtickle.

Hamming vs Cekura: Feature Comparison Table

Audio-Native Evaluation vs Conditional Actions

Hamming and Cekura have made fundamentally different technical bets on what matters most in voice AI evaluation.

Audio-native evaluation is an approach that analyzes raw audio signals (waveform, tone, silence gaps) rather than relying solely on speech-to-text transcripts.

Hamming's audio-native evaluation analyzes audio signals directly rather than relying solely on transcripts. Their claim: text-based evaluation misses approximately 40% of voice-specific failures including tone issues, silence gaps, speech overlap, and ASR misrecognition. By analyzing the audio waveform alongside the transcript, Hamming aims to catch failures that transcript-only tools cannot detect.

This claim is benchmarked against generic transcript tools (LangSmith, Braintrust), not against other voice-specific evaluation platforms. Whether the 40% figure holds against Cekura specifically is unverified. Still, the conceptual argument is sound -- there are voice quality dimensions (latency perception, interruption handling, background noise response) that transcripts do not capture.

Conditional Actions is a rule-based testing framework where the test agent dynamically adapts behavior based on the target agent's responses, producing more deterministic results than pure LLM-as-judge evaluation.

Cekura's Conditional Actions addresses a different problem: LLM evaluation flakiness. When an LLM judges another LLM's output, results can vary between runs of the same test. Conditional Actions adds a rule-based framework where the test agent dynamically adapts its behavior based on the target agent's responses at runtime. This produces more deterministic evaluation results.

Both innovations solve real problems. Audio-native evaluation catches failure modes transcripts miss. Conditional Actions makes automated scoring more reliable. The question is which problem is more pressing for your voice AI evaluation workflow.

Pricing and Self-Serve Access

The pricing model is one of the starkest differences between these platforms.

Cekura publishes a $30/month Developer plan with 750 credits, one seat, 10 concurrent calls, one project, and email support. A 7-day trial with 300 credits is available with no credit card required. Additional seats cost $30/user/month. Enterprise pricing is custom.

The Developer plan's cost transparency has an asterisk: voice testing consumes 5 credits per minute, which works out to approximately $0.20 per minute at the Developer rate. This rate is not prominently displayed on the main pricing page, requiring calculation based on credit consumption. At 750 credits, the Developer plan covers roughly 150 minutes of voice testing per month with no other usage. Teams running hundreds of test calls will exceed this quickly.

Hamming has no published pricing. All plans (Agency, Startup, Enterprise) require contacting sales. Their pricing structure is described as "a mix of usage and the number of seats." The only free access comes through partner promotions: 100 free test calls for Vapi or Retell customers.

For individual developers or small teams evaluating tools, Cekura's self-serve model removes a significant friction point. For enterprise buyers negotiating custom contracts, the pricing models may converge at scale.

Compliance and Certification

Both platforms serve regulated industries, but their compliance postures differ in specificity.

Hamming holds SOC 2 Type II certification (December 2025) and offers HIPAA BAAs. These certifications are explicitly documented with dates. Hamming does not claim GDPR compliance.

Cekura lists SOC 2, HIPAA, and GDPR on its Enterprise tier. However, certification completion dates are not publicly visible. It is unclear from public materials whether these are completed certifications or in-progress initiatives. Compliance is gated to the Enterprise plan -- the $30/month Developer plan does not include compliance coverage.

For healthcare buyers, both platforms claim HIPAA support. Hamming provides an explicit certification date. Cekura provides a broader claim (adding GDPR) but with less verifiable documentation. Enterprise procurement teams should request specific certification documentation from both vendors.

Neither platform offers GDPR compliance alongside SOC 2 and HIPAA with full public documentation -- a gap in the category that buyers operating globally should note.

Integration and Developer Experience

Both platforms target engineering teams, but their integration philosophies diverge.

Hamming offers a REST API, webhooks, GitHub Actions integration, and a browser-based GUI. Integration partners include Vapi, Retell AI, ElevenLabs, LiveKit, Pipecat, and Bland AI. The platform uses WebRTC or SIP trunks to inject audio into target agent systems. Hamming also has a partnership with Cisco (Webex App Hub), providing an enterprise distribution channel.

Cekura offers a REST API, WebSocket support, GitHub Actions, and a web dashboard. Their MCP server -- a Model Context Protocol integration for IDE-native access from Claude Code and Cursor -- is a forward-looking capability unique among voice eval platforms. Cekura also lists Cisco as a partner alongside Retell AI, Cartesia, and Pipecat.

Neither platform offers a CLI. For terminal-native developers, both require API interaction for scripting workflows. Cekura's MCP server provides an IDE-native alternative that is genuinely useful for engineering teams working within AI coding assistants. For a broader view of how voice AI testing tools compare, see the voice AI testing landscape overview.

Team Stability and Roadmap Risk

Co-founder departures at seed stage are among the top risk factors investors track. Team continuity is a material factor in vendor evaluation.

Hamming was co-founded by Sumanyu Sharma (CEO) and Marius Buleandra (CTO). Buleandra has departed to Anthropic by early 2026, as confirmed by his LinkedIn profile (scraped February 2026: "Anthropic | ex. YC, Anduril"). The CTO departure at a seed-stage company raises questions about engineering leadership continuity and roadmap direction. Sumanyu remains active and posts prolifically on LinkedIn about engineering velocity and product direction.

Cekura was co-founded by Tarush Agarwal (CEO), Shashij Gupta (CTO), and Sidhant Kabra (President). All three co-founders are active and building. As of Q1 2026, the team has grown 7x in 7 months post-seed. The three founders have known each other since their first year at IIT Bombay, which suggests strong co-founder trust.

From a pure team stability perspective, Cekura has the advantage. All founding leaders are present and the team is growing. Hamming has the larger war chest ($4.3M vs $2.4M) but faces the challenge of replacing its co-founder CTO.

Who Should Choose Hamming?

Choose Hamming if your team needs:

• Audio-native evaluation that analyzes signals beyond transcripts (tone, silence, overlap, ASR errors)
• DTMF / IVR emulation for testing agents that navigate legacy phone tree systems
• Production call replay as a core workflow for converting failures into regression tests
• Explicit SOC 2 Type II certification with a documented completion date (December 2025)
• Enterprise distribution through the Cisco Webex partnership or deep Vapi/Retell ecosystem integration
• Prompt optimization as a built-in feature (beta) for automated prompt engineering

Hamming is strongest for voice-first teams deeply integrated with Vapi or Retell who prioritize audio signal quality and production monitoring.

Who Should Choose Cekura?

Choose Cekura if your team needs:

• Self-serve access today at a published price point ($30/month, no sales call required)
• Conditional Actions for more deterministic LLM-based evaluation scoring
• MCP server integration for IDE-native evaluation from Claude Code or Cursor
• SMS testing alongside voice and chat evaluation
• Self-hosting at the Enterprise tier
• A no-credit-card free trial to evaluate the platform before committing

Cekura is strongest for developer-first teams and small agencies who want to start testing immediately, evaluate IDE-native workflows, and scale into enterprise plans as needs grow.

Frequently Asked Questions

Is Hamming's "40% miss rate" claim valid?

Hamming claims text-based evaluation misses approximately 40% of voice-specific failures. This figure is benchmarked against generic transcript-only tools, not against other voice-specific platforms like Cekura. The conceptual argument -- that audio signals contain information transcripts lack -- is sound, but the specific percentage should be validated against your own agent's failure modes.

What does Cekura's $30/month actually cover for voice testing?

The Developer plan includes 750 credits. Voice testing costs 5 credits per minute, providing approximately 150 minutes of testing per month. Chat messages cost 0.5 credits. Metric evaluations cost 0.2 credits. Teams running more than a few dozen test calls per week will likely exceed this allocation.

Can either platform test multi-step workflows with state verification?

Neither Hamming nor Cekura offers stateful workflow testing -- the ability to set external states before a simulation and verify state changes after. Both platforms test conversations in isolation. Teams needing workflow-level verification should consider platforms that support pre/post state management. Coval provides this capability.

Which platform has a larger customer base in healthcare?

Hamming names Luma Health and Grove AI as healthcare-adjacent customers. Cekura names Twin Health and Confido Health. Both have early traction in healthcare but neither has the depth of regulated-industry deployment that enterprise healthcare procurement typically requires.

Does Hamming's CTO departure matter?

For enterprise buyers, yes. At a seed-stage company, the co-founder CTO's departure to Anthropic creates uncertainty around engineering leadership, roadmap continuity, and technical direction. This is worth asking about in vendor evaluation conversations. Hamming's CEO is actively building, but the gap at CTO level is relevant for multi-year vendor commitments.

Hamming vs Cekura: The Verdict

Hamming and Cekura are both YC-backed voice AI evaluation platforms with different strengths. Hamming offers audio-native evaluation, IVR emulation, and an enterprise channel through Cisco. Cekura offers self-serve pricing, Conditional Actions for evaluation determinism, and MCP-native IDE integration.

For teams that prioritize audio signal quality, production call replay, and Vapi/Retell ecosystem depth, Hamming is the stronger choice. For teams that value self-serve access, transparent pricing, and developer-first tooling, Cekura provides a lower-friction path.

Neither platform offers stateful workflow testing, human review queues, or complete compliance credentials (SOC 2 + HIPAA + GDPR on every plan). If you are evaluating both and need those capabilities, consider also looking at Coval, which evaluates agents built on any platform.

Also read:

• Coval vs Hamming voice AI eval comparison
• Coval vs Cekura voice AI testing comparison
• Coval vs Bluejay voice AI eval comparison
• Hamming vs Bluejay voice AI testing comparison
• Cekura vs Bluejay voice AI QA comparison