Sub 185ms responses. Lowest P99 in production (~200ms). 90% cheaper than GPT-5.4.
Powering voice teams across industries
Multi-region routing keeps the model close to the caller, and priority scheduling puts live calls ahead of everything else — so responses land under 150ms even when traffic spikes.
Most frontier-lab models hit rate limits, get bottlenecked on requests, and experience latency spikes. Alma was designed to make sure this never happens.
People talk differently than they type. Alma was trained on millions of phone calls and responds naturally to every turn.
When dealing with phone calls you can't afford to skip a step or miss a function call. Alma is built to adhere to the most complex conversational flow.
A fraction of frontier-model pricing, so millions of minutes stay profitable
Audio never leaves your network
Your calls never train a model.
Keep audio for 0 days or 7 years.
SSNs and card numbers stripped at write time.
Alma's worst 1% of turns answers in 206ms, much faster than the average response on either OpenAI models.
Don't see your use case? Reach out and we'll try a model just for you.
Request a modelBlended $/1M tokens vs. list prices · Alma Shared
Shared infrastructure for getting to production fast.
Dedicated capacity with significantly lower p99 when it matters.
Deploy in your VPC or on-prem. Your data never leaves.
We spent 3 years and millions of calls fighting slow and expensive LLMs that aren't built for phone conversations, so we built Alma. Our team of PhD ML researchers in speech built the LLM we wished we had.
Reliable, repeatable scheduling across calendars.
Answer, route, and resolve routine inbound calls.
Qualify and score inbound leads on the line.
Compliant, on-script, calm under pushback.
High-accuracy tool calls, DTMF, lookups, transfers.
Natural turn-taking, interruptions, and pacing.
Need those? Pair Alma with a general model and let Alma own the call.
