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Compute & Inference

Caretta for
compute reps

Sell technical infrastructure with precise answers, on every call with a CTO.

For a highly technical product like ours, Caretta provides the technical insights needed when speaking with CTOs and other technical stakeholders.

Ethan Loar GTM at Together AI
Portrait of Ethan Loar
Compute & Inference

When the CTO asks: the answer, cited from your own docs and benchmarks, in the notch before you have to say “let me get back to you”.

  • “What's your p95 latency on the 70B under load?”The benchmark table for that model, cited.
  • “Do you serve this family in FP8?”Quantization and context limits, per model and version.
  • “Which regions can we pin inference to?”Hardware and region availability as of the latest release.
  • “What does a committed spend do to per-token pricing?”Your pricing sheet and the discount tiers, in plain terms.
See during the call
00:10
58%
  • Aster 2.1 MiniLLM · 32K
  • Cinder 2.1 MiniImage · 64K
  • Helix 2.1 MiniAudio · 128K
  • Kestrel 2.1 MiniMultimodal · 256K
  • Lumen 2.1 MiniLLM · 512K
  • Meridian 2.1 MiniImage · 32K
  • Nova 2.1 MiniAudio · 64K
  • Orion 2.1 MiniMultimodal · 128K
  • Quanta 2.1 MiniLLM · 256K
  • Compute & Inference

    Every model, with you in your calls

    Modalities, versions, limits, latency and release cycles change constantly. Caretta keeps every detail ready.

  • Vanta 2.1 MiniImage · 512K
  • Aster 3.0 FlashAudio · 32K
  • Cinder 3.0 FlashMultimodal · 64K
  • Helix 3.0 FlashLLM · 128K
  • Kestrel 3.0 FlashImage · 256K
  • Lumen 3.0 FlashAudio · 512K
  • Meridian 3.0 FlashMultimodal · 32K
  • Nova 3.0 FlashLLM · 64K
  • Orion 3.0 FlashImage · 128K
  • Quanta 3.0 FlashAudio · 256K
  • Vanta 3.0 FlashMultimodal · 512K
  • Aster 3.2 ProLLM · 32K
  • Cinder 3.2 ProImage · 64K
  • Helix 3.2 ProAudio · 128K
  • Kestrel 3.2 ProMultimodal · 256K
  • Lumen 3.2 ProLLM · 512K
  • Meridian 3.2 ProImage · 32K
Compute & Inference

Built from what your team already ships: Caretta learns your catalogue from your own material and cites it, so you can trust the answer and check it.

  • Model cards and release notes
  • Benchmarks and latency tables
  • Pricing per token and commits
  • Hardware and region availability
  • Quantization and context limits
  • Security and compliance answers
  • Every past call with this account
  • Docs and changelogs, as they ship
  • Start free
Caretta Metrics

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Aug 19 at 12:30 PM

Caretta Demo | Marcus Feld & Dana Whitfield

Marcus sees value for AML and compliance questions, and will assess internal interest before a Monday follow-up.

RepDana Whitfield
CompanyNNorthwind
Attendeesmarcus@northwind.io
Insight adoption33%
EngagementHigh
Objection resolution50%
Discovery4
Call Management
Agenda SetNo
Deferrals Count2
Filler Word Frequency5
Coaching Adoption
Insights Led To Engagement Count9/11
Insights Shown Count33
Insights Used11/33
Discovery
Discovery Questions Count4
Lead Source InquiryNo
Next Steps
Next Steps Count4
Org Custom
Security Review Readiness4.1/5
Pricing DiscussedYes
TranscriptVideo

Doing well. How's it going? Nice to meet you.

Sorry for coming in a couple of minutes late.

No problem at all, I only just sat down myself.

How are you doing today?

Doing well — business as usual. Could be less busy, but that's fine. How about yourself?

Good, thanks. Are you calling from Oslo? Nice.

I should apologise for the overly polished look — all of our meeting rooms are busy, so I'm in the podcasting studio and it looks a little pretentious.

I love it. I think it's great.

That's good, I'm glad you liked it. I'm interested to see the system properly.

I know you said it would be a hard sell internally, but I'm always open to feedback — we've been in the space for over a year now. To give you more context, we're a startup out of Europe, now based in San Francisco.

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Know every model,
answer every CTO,
close the deal.