Infrastructure for Realtime

AI personas that conduct meetings on your behalf — sales calls, interviews, feedback sessions, training, and support. Real-time voice, vision, and screen sharing at 1/5 the cost of SOTA realtime models.

Capabilities

Everything a meeting needs,
in one agent.

Vision, voice, screen, and reasoning — the full stack of what makes an AI persona feel present, not scripted.

Screen Sharing

AI personas present content, demos, and walkthroughs on the call.

Screenshare Vision

Real-time guidance and navigation while a participant shares.

Camera Vision

Sees the participant for genuinely personalized interactions.

Adaptive Conversations

Steers each exchange toward the meeting objective.

Realtime Thinking

Listens and reasons simultaneously — no awkward pauses.

Agent Cognition

Alignment, perception, and vision combined into one agent.

Web Search

Pulls fresh context mid-call when the answer isn't in memory.

Multi-lingual

50+ languages, per-scenario locale, native accent.

Meeting Controls

Pace, silence, follow-ups — the agent respects the flow.

Post-meeting Analysis

Scored outcomes, transcript, and highlights the moment it ends.

Website Embed

A single script tag drops the meeting into your product.

Notion-style Builder

Compose scripts and personas without writing prompts by hand.

E2E realtime harness

Frontier Performance
at 62% lower cost.

Monologue — our reasoning harness over a frozen realtime backbone — leads the AudioMC leaderboard by +21.3 pts over the next-highest published system.

Read the Monologue researchMethod + per-axis breakdown

Click a layer to explore

Deployment Topology

Deploy AI anywhere.
Own it everywhere.

Inference runs in-region, keeping you inside your latency envelope, data residency obligations, and compliance frameworks.

Managed, multi-region, ready in minutes.

Spin up in our SOC 2-aligned tenants across NA, EU, and APAC. Autoscales with concurrency; we handle capacity, patching, and inference uptime.

Multi-region, per-workspace residency
Autoscaling GPU pool
99.95% inference uptime SLO

Your VPC, your hardware, your rules.

Deploy inside your VPC, on bare-metal, or directly into a customer's environment — complete ownership and control over every layer of the stack.

Air-gapped install artefacts
Terraform + Helm handoff
Zero data egress by architecture

Runs beside the caller, not across an ocean.

Edge inference for latency-critical workloads — the speech, vision, and reasoning stack runs on-device or on a nearby node. Sub-200ms end-to-end.

Apple Silicon + CUDA edge builds
Local speech + local reasoning
Falls back to region gracefully

Same control plane. Every surface.SOC 2 · HIPAA · GDPR aligned

Enterprise Grade

Infrastructure and security,
on your terms.

Where the models run, who authenticates, what gets logged — every knob you'd expect from a platform your CISO signs off on.

Infrastructure

BYOK

Bring your own model keys — you keep the billing relationship.

Self-hosted

Deploy inside your tenant or fully on-premise.

Edge Inference

Run models close to the call for sub-300ms latency.

Custom Roles

Assign scenarios and training paths per user or team.

Security & Compliance

SSO / SAML

Okta, Entra, Google Workspace, or any SAML 2.0 / OIDC IdP.

Compliant

HIPAA and GDPR aligned; FedRAMP-ready architecture.

E2E Encryption

AES-256 for audio, transcripts, and recordings at rest and in flight.

PII Masking

Names and identifiers stripped before any LLM processing.

Why Enterprise Teams

The measurable win.

Six outcomes that show up on the P&L, not just the roadmap.

80% Cost Savings

1/5 the price of SOTA realtime models — verified per-minute.

Data Ownership

Every meeting becomes structured intelligence you keep.

10x Faster Coverage

Run every call in parallel across teams and time zones.

Full Automation

100% of routine 1:1 meetings delegated to an agent.

Measurable ROI

Direct employee-to-agent KPI mapping and cost accounting.

Zero Data Egress

Meetings, transcripts, and analytics stay inside your tenant.

Use Cases

Where enterprise teams
delegate the meeting.

Two lanes — revenue-driving conversations and internal operations — every scenario runs through the same governance surface.

Revenue Driving

Sales assist with vision
Retail feedback collection
SaaS feedback on screenshare
Testimonial collection
SDR prospect engagement
GTM training programs
Meeting preparation
Multi-persona GTM training

Operations

HR meetings and skip-levels
POSH compliance sessions
Tech and non-tech interviews
IT support with screenshare
Employee feedback sessions
Onboarding and training

Your data. Your rules. Your control.

Our Promises

Built on values. Moving forward.

Three commitments that shape every feature we build, every decision we make, and every line of code we ship.

Transparency

We build transparent AI systems.

Every decision your AI makes is visible, traceable, and explainable. No hidden layers. No secret data pipelines. You see the reasoning, the sources, and the actions — before they happen. We believe AI earns trust through openness, not opacity.

No Lock-in

Power users with data they own.

Your data lives on your computer — not on our servers. Switch models, export everything, or walk away anytime. We don't hold your workflows hostage. Waterr works for you, and everything it touches stays yours. Forever.

Safety First AI

Autonomy with guardrails.

Every agent action requires your permission. Every integration is opt-in. Every piece of data is encrypted at rest. We build AI that is powerful enough to act on your behalf, and disciplined enough to always ask first.

Questions & Answers

Everything enterprise buyers ask.

Straight answers on pricing, security, deployment, and compliance. If yours isn't here, our team responds within one business day.

Every AI meeting capability on the platform — realtime voice, camera vision, screen sharing by AI persona, adaptive conversations, multi-lingual support, post-meeting analysis, meeting controls, and website embedding. Plus enterprise-grade SSO/SAML, audit logs, VPC deployment, BYOK, and a dedicated success engineer.

You pay for meeting minutes consumed. Standard is $0.0144/min; volume drops to $0.0072/min — roughly 1/5 the cost of GPT Realtime at ~$0.07/min. Billed monthly against actual usage, no per-seat fees, no idle-user tax. Custom SLAs and enterprise contracts are available on annual commit.

No. Meeting audio, transcripts, recordings, and analytics are never used to train models — Waterr's or third-party. In VPC and on-prem deployments, none of that data leaves your tenant boundary. In Cloud, data is isolated per workspace and deleted per your retention policy.

HIPAA and GDPR aligned. FedRAMP-ready architecture for regulated deployments. Data residency in US, EU, and India regions. Signed BAAs and DPAs available on request.

Yes — three deployment options: Waterr Cloud (fully managed), VPC / Private Cloud (runs inside your AWS, Azure, or GCP tenant), and On-Prem & Edge (for air-gapped and regulated environments). All three support BYOK, SSO, and the same feature set.

Yes. Bring your own keys for LLM, speech-to-text, text-to-speech, and vision models — Anthropic, OpenAI, Gemini, self-hosted OSS, or any provider you already have contracts with. Waterr orchestrates the meeting; you keep the billing relationship and model choice.

Waterr runs its own realtime video and voice room — participants join by link, no downloads. It also embeds directly inside your website, product, or app via a single script tag, so the AI persona can appear right where your users already are.

SAML 2.0 and OIDC — Okta, Azure AD / Entra ID, Google Workspace, OneLogin, JumpCloud, Ping, and any standards-compliant IdP. SCIM provisioning for user lifecycle management. Role-based access control down to scenario and persona level.

Yes — full disclosure by default. The AI persona introduces itself, and consent screens are shown before recording, transcription, or vision capture begins. Configurable per scenario to meet local regulation (EU AI Act, US state laws, sector-specific rules).

Cloud: minutes. VPC: days — typically a two-week onboarding covering IdP wiring, model routing, scenario setup, and a first pilot workflow. On-prem: weeks, depending on your infra. Every enterprise gets a dedicated success engineer through pilot and rollout.

Still have questions?

Talk to our enterprise team

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