auto-AGENTS™ resolves voice and chat end to end — then learns from every conversation, getting more accurate and more efficient with every call. Headless, API-first, and powered by TokenTrim™.
auto-AGENTS™ isn't one model — it's a coordinated team. One agent listens, another reasons, another acts. QA scores every call, and the whole system tunes itself, continuously.
Not a chatbot. A voice-native, self-improving contact center that resolves the conversation, measures the outcome, and gets better on its own — every single week.
auto-AGENTS™ runs a closed loop in production — resolve, measure, learn, optimize — automatically tuning prompts, routing and TokenTrim™ compression from real outcomes.
Resolution rate climbs and cost per resolution falls, month over month, without you lifting a finger.
TokenTrim™ is our token-compression layer — and it sharpens as the loop learns. In benchmarking it cut LLM tokens per voice call from 98,938 to 9,465 while preserving quality inside a pre-registered 2-point margin.
On live traffic, continuously, with humans in control of every change. Post-call autoQA scores 100% of calls; winning patterns are promoted automatically; every change is measured, gated and reversible.
119 languages, 535 voices, real barge-in and live hand-off. The same agent carries shared memory, tools and policy across voice, chat, SMS, WhatsApp and email — with sub-200ms model latency.
Streaming speech, a low-latency orchestration tier, provisioned model endpoints and a measured speech-to-speech budget of about 800ms end to end. Barge-in, fallback and circuit breakers built in.
auto-AGENTS™ reads and writes to your systems — updating accounts, processing refunds, troubleshooting, escalating — all within policy. Real resolutions, not deflections.
62 production integrations across the Fortune 500 stack — CRM, CCaaS, data and telephony — pulling context, personalising responses and taking action via API, connectors or MCP. Listed on AWS & Azure marketplaces.
Every capability is a single API call — start a call, route, resolve, refund, escalate. Orchestrate auto-AGENTS™ from your own stack with no UI lock-in. Set self_improve: true and the loop runs on your traffic.
autoQA grades resolution, compliance, sentiment and tokens on every call, surfacing emergent trends and one-click recommendations you can set live to immediately improve performance.
Every aspect of auto-AGENTS™ is designed to be managed by you: tone, guardrails, knowledge, routing. Experiment, simulate and ship changes with confidence using a full testing suite.
Architected for continuous uptime with regional redundancy. SOC 2, HIPAA, ISO 27001, PCI DSS and GDPR — plus ISO 42001, ISO 27701 and EU AI Act alignment — with AES-256, TLS 1.3, zero-data-retention training and 24/7 SOC monitoring.
A horizontally-scaled reference architecture benchmarked for high-concurrency voice — admission control, regional quota planning, autoscaling and burst testing at 1.75× steady state, validated for regulated workloads.
119 languages, 535 voices, barge-in and live hand-off.
In-app SDK and web chat with full memory.
Async messaging that continues across channels.
Long-form resolution with policy-aware actions.
Drive any channel from your own stack.
Automated QA and scoring on 100% of calls.
See what self-improving voice automation could return — from your own volume and costs.
Cost reduction reflects TokenTrim™ efficiency — up to 10× fewer tokens per call. Estimates only.
auto-AGENTS™ runs a closed loop in production — resolve, measure, learn, optimize — automatically tuning prompts, routing and TokenTrim™ compression from real outcomes. Resolution trends up and per-resolution compute trends down over time, with every change measured, gated and reversible.
Most of a call's tokens are repeated context — instructions, history, retrieved docs, tool scaffolding. TokenTrim™ distills and compresses that footprint before it reaches the model, cutting tokens about 10× with no measurable accuracy loss. It works with our models or your own.
Every capability is an API. Run auto-AGENTS™ entirely from your own orchestration layer, CCaaS or backend with no required UI. Your agents call ours, and ours call your tools.
Yes — our reference architecture is benchmarked for 10,000 concurrent calls with 1.75× burst testing, p95 latency budgets, autoscaling and graceful degradation, validated for regulated workloads.
SOC 2 Type II, HIPAA, ISO 27001, PCI DSS and GDPR — plus ISO 42001, ISO 27701 and EU AI Act alignment — with AES-256 at rest, TLS 1.3 in transit, zero-data-retention training, 24/7 SOC monitoring and US/EU residency.
Deploy a voice agent that resolves end to end — then learns from every call and gets better every week.