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Hamming AI

San Francisco company from Y Combinator's Summer 2024 batch that tests AI voice and chat agents with simulated callers, red-teams them, and monitors production calls.

7.5/10
Overall Score
Recommend

Hamming AI automates the repeated test calls voice agent teams make by hand, and adds red-team scenarios and production call monitoring.

Best for

Teams building AI voice agents for healthcare, banking, and customer service that need automated testing before launch and monitoring after.

Not ideal for

Teams that only build text chatbots, or buyers who want published self-serve prices.

Verdict

Hamming AI is a San Francisco company that tests and monitors AI voice agents by placing simulated calls and reviewing real ones. It suits teams shipping voice agents in healthcare, banking, and customer service, where a wrong answer can hurt customers. Its focus on voice gives it depth that general AI evaluation tools lack.

Score Breakdown

How Hamming AI scores in the categories that matter to its buyers.

Buyer outcomes

Voice agent testing
8.6
Production monitoring
8.0
Price visibility
6.1
Breadth beyond voice
7.0

Company & commercial

Innovation & product leadership
7.8
Project management & communication
7.6
Pricing
7.4
Contract fairness
7.7

Pricing

Hamming AI does not publish prices. Its Startup, Agency, and Enterprise plans are quoted after a call.

Hamming sells voice agent testing, call analytics, and compliance features in plans for startups, agencies, and enterprises, with SOC 2 and HIPAA support on Enterprise.

The Field at a Glance

How Hamming AI compares with other Eval & quality vendors we reviewed, by Overall Score and relative typical engagement cost.

6 7 8 9 Overall Score $ $$ $$$ $$$$ Relative typical engagement cost Braintrust Confident AI HoneyHive Vellum Patronus AI Hamming AI 7.5
Hamming AI Braintrust Confident AI HoneyHive Vellum Patronus AI

Hamming AI scores 7.5 in Eval & quality, under Braintrust (7.8), Confident AI (7.7), and HoneyHive (7.7), and ahead of Vellum (7.0) and Patronus AI (6.6). Relative cost lands mid-band for this subcategory.

Use-case matrix

Use caseFitNotes
Simulated voice callsStrongRuns test calls at scale.
Red-teamingStrongTests prompts that try to break compliance.
Production call monitoringStrongReviews live calls for failures.
Healthcare complianceStrongSOC 2 and HIPAA on Enterprise.
Published pricesWeakPlans are quoted.
Text-only agentsMixedVoice is the main focus.

Who it’s for

Good fit

  • Voice agent startups
  • Healthcare and banking teams
  • Agencies building voice agents for clients

Poor fit

  • Text-only chatbot teams
  • Buyers wanting list prices
  • Teams without production traffic

Review Excerpts

Below are excerpts from public reviews. Our team scoured public reviews, forums, and chat rooms to get a balanced view of customers' experience with this company. Paid reviews and pay-for-play sites such as Clutch were excluded.

How it's used

Hamming says it has protected more than 10 million minutes of calls across voice agent QA workflows.

Company claim · Hamming
What people like

“After trying many, this is by far the strongest evaluation platform for voice agents.”

Customer testimonial published by Hamming · hamming.ai
What people don't like

Hamming AI publishes no prices for any plan, so teams must book a call to compare its cost with self-serve evaluation tools.

Product fact · Hamming pricing

Company Facts

Founded
2024 (Y Combinator)
Headquarters
San Francisco (Y Combinator)
Accelerator
Y Combinator, Summer 2024 batch (Y Combinator)
Team size
10 (Y Combinator)
Seed funding
$3.8M led by Mischief (Hamming)
Founders
Sumanyu Sharma (CEO) and Marius Buleandra (Y Combinator)
Website
hamming.ai

Key Leadership

Sumanyu Sharma

Sumanyu Sharma

Co-founder and CEO

Methodology

This page is an independent evaluation of Hamming AI for buyers comparing options in eval & quality. AI Industry Reviews accepts no sponsorships, advertising, or pay-for-placement fees. Hamming AI did not pay for this review.

What we scored

The headline number is an Overall Score on a 0-10 scale. Eight criteria sit under it in two groups.

  • Buyer outcomes (for eval & quality)
    • Voice agent testing
    • Production monitoring
    • Price visibility
    • Breadth beyond voice
  • Company & commercial
    • Innovation & product leadership
    • Project management & communication
    • Pricing
    • Contract fairness

Pricing measures whether the price looks fair for the value delivered, including packaging and renewal friction that show up in real buying cycles.

Score Composition

InputWeightWhat it covers
Reviews40%A proprietary read of what practitioners say about likes, complaints, and day-to-day use, including public review sites, forums, and private chat rooms. Paid reviews and pay-for-play sites such as Clutch are out of scope.
Product35%Hands-on look at screens and workflows.
Pricing15%Whether the price looks fair for what you get.
Docs & training10%Docs, tutorials, and training material.

How we balanced the evidence

The Overall Score is the simple average of the eight criteria. Recommendation language follows that score and the fit pattern described above.

Scope

Hamming AI is graded here as eval & quality. Criteria scores can move as more review volume and product checks are added.

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