Sold by: Smallest AI
Deployed on AWS
Smallest Atoms is a platform for deploying hyper-realistic AI agents that can talk to anyone on voice or text, in any language and any voice. Atoms act like AI employees that handle end-to-end workflows across support, sales, and operations, using your business context, tools, and data. They can automate conversations such as answering queries, collecting information, completing transactions, and triggering downstream actions, while continuously learning from mistakes. Atoms integrate into your stack via SDKs and APIs, making it easy for teams to embed real-time, natural conversations into web, mobile, and backend systems.
4.7
Overview
Smallest Atoms is a platform for deploying hyper-realistic AI agents that can converse over voice and text in any language and any voice. These agents behave like AI employees who understand context, follow workflows, and can handle entire conversations end to end for support, sales, and operations.
Contact gtm@smallest.ai for enterprise plans with customized pricing, concurrency, support, and more.
Highlights
- Hyper-realistic AI voice and chat agents that talk like real people, support any language, and handle complete customer conversations end to end for support, sales, and operations.
- Deep integrations into your CRMs, contact center stack, and business systems so Atoms can fetch data, complete tasks, and trigger workflows automatically during live calls and chats
- Built for enterprise contact centers with high accuracy, low latency, and continuous learning, helping teams reduce handle times, scale 24x7, and improve customer satisfaction.
Details
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Delivery method
Deployed on AWS
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Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month |
|---|---|---|
Atoms biz plan | Business Plan which includes up to 16,667 minutes of voice agent usage. | $1,999.00 |
Atoms enterprise plans | Access to Voice AI enterprise platform | $100,000.00 |
Dimension | Description | Cost/unit |
|---|---|---|
voice_minutes | cost/min of voice agent calling | $0.12 |
Vendor refund policy
All fees are non-cancellable and non-refundable except as required by law.
Legal
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
For technical support, contact support@smallest.ai For sales inquiries, reach GTM team (gtm@smallest.ai ; Harsh: +91-9819899421)
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
Neeraj R.
Automated Transcription and PII Redaction Excellence
Reviewed on Jul 17, 2026
Review provided by G2
What do you like best about the product?
I love the built-in PII and credit card redaction features of smallest.ai because they work flawlessly in real time, automatically masking sensitive identity details during live conversations. This ensures immediate protection of customer data and saves our team significant time since we don't have to manually remove or hide personal or payment details. It's particularly beneficial for handling financial conversations where privacy and data security are crucial. The initial setup of smallest.ai was very easy and straightforward, allowing our team to integrate it quickly without any major issues. The platform has helped us automate PII redaction and improve compliance monitoring, which was a major reason for switching from a manual transcription and call-monitoring process. The ability to integrate smallest.ai with our internal compliance and customer management systems using its API to export call data and connect transcripts with our secure document storage has been incredibly efficient for our compliance team. Overall, my experience with smallest.ai has been very positive, and I appreciate its smooth real-time features.
What do you dislike about the product?
The reporting dashboard could be more flexible,. Exporting detailed call data for specific regional branches sometimes requires using the API.
What problems is the product solving and how is that benefiting you?
I use smallest.ai for quick deposition transcriptions, solving our backlog by automatically drafting texts. Its AI redacts PII, instantly protecting sensitive data, especially during financial discussions. It saved us time by replacing manual transcription and monitoring, improving compliance and security efficiently.
Ruchi .
Efficient Transcription with Low-Latency
Reviewed on Jul 17, 2026
Review provided by G2
What do you like best about the product?
I love how smallest.ai instantly creates highly reliable initial text drafts which remove our production backlog, saving us days of manual transcription effort. The automatic word-level timestamps are incredibly useful as they match up perfectly with our legal audio tracks. I can click on any word in the transcript and the media line jumps straight to that exact millisecond, which really speeds up our deposition editing workflows. Word-level timestamps turn a static text transcript into a highly interactive, searchable, and easily editable media database, eliminating hours of manual timeline scrubbing and allowing legal teams to focus on strategy rather than video editing. The platform integrates natively with several real-time AI and communication tools like LiveKit, Pipecat, Twilio, and Zapier, which is great for streamlining voice and automation workflows. Its ultra-low latency and native integrations with frameworks are incredibly powerful for building real-time, conversational voice agents.
What do you dislike about the product?
I find myself relying heavily on manual API configurations because the developer dashboard currently lacks a user-friendly, visual interface for managing custom pronunciation dictionaries. The documentation for advanced features like setting up data redaction or handling rate limits is relatively sparse, which often means I need hands-on assistance from the support team. I also feel that the platform is lacking in terms of providing comprehensive performance metrics, as there is no built-in dashboard for tracking granular, language-specific Word Error Rates. Additionally, for workflows needing a wide range of pre-made or community voice options, the smaller, more curated voice library can feel restrictive. The limited webhook options also make managing complex, high-volume logging more difficult.
What problems is the product solving and how is that benefiting you?
I use Smallest.ai to instantly create highly reliable text drafts, eliminating our production backlog. The word-level timestamps turn my transcripts into interactive, searchable, and editable databases, speeding up deposition editing and letting us focus on legal strategy.
Ismayra P.
Lightning Model Nails Context-Aware Pronunciation for Technical Text
Reviewed on Jul 06, 2026
Review provided by G2
What do you like best about the product?
The standout feature for our educational architecture is the engine's incredible handling of specialized, context-dependent text. Most traditional TTS systems stumble hard over technical scientific terminology or legal citations, requiring heavy SSML tagging to fix pronunciation. Smallest.ai's Lightning model natively infers the correct phonetic structure based on surrounding paragraph context, which has drastically cut down our manual audio editing hours during textbook localization workflows.
What do you dislike about the product?
While the core voice synthesis is top-tier, the advanced pronounciation dictionary manager in the developer portal feels a bit bare-bones. It functions perfectly via API overrides, but a more robust visual interface within the dashboard for managing custom lexicon tables would make large-scale asset tracking easier for non-technical editors.
What problems is the product solving and how is that benefiting you?
We needed to scale our auditory accessibility compliance (ADA/Section 508) across hundreds of hours of web-based training modules without blowing past our quarterly production budget. Smallest.ai allowed us to automate high-fidelity, highly natural audio generation straight from our headless CMS pipeline, saving us thousands in traditional voice-actor studio booking fees while speeding up our deployment cycles by roughly 40%.
Sujit K.
Reliable compliance ready AI transcription with built in redaction
Reviewed on Jul 06, 2026
Review provided by G2
What do you like best about the product?
The build in PII and PCI redaction capabilities have been a major advantage for our team. Sensitive information such as card numbers, account details, and personal identifiers is automatically masked before transcripts are processed, eliminating the need for a separate redaction tool. This has streamlined our workflow, reduced operational overhead, and strengthened compliance.
What do you dislike about the product?
The initial on-boarding and redaction configuration could be more intuitive. While the support team was very helpful, additional documentation, implementation guides, and real world configuration examples would make deployment faster and easier for new users.
What problems is the product solving and how is that benefiting you?
Smallest.ai enables us to generate RBI complaint call transcript with automated PII/PCI redaction, removing the need for an additional compliance solution. This has simplified our technology stack, reduced governance effort, lowered operational costs and increased confidence among our legal and compliance teams
Niranjan .
Impressive Multilingual Accuracy with Pulse STT Under a Single APi
Reviewed on Jul 02, 2026
Review provided by G2
What do you like best about the product?
Was honestly surprised by the impressive language coverage of Pulse STT. It consistently handles regional calls in Spanish, French, Portuguese, and Hindi with strong accuracy under a single API wrapper instead of managing separate localized endpoints.
What do you dislike about the product?
Would appreciate more language-specific Word Error Rate (WER) reporting inside the default metrics dashboards. Right now, it takes extra script work on our end to accurately analyze local language performance.
What problems is the product solving and how is that benefiting you?
Pulse has unified our regional operations under one roof and eliminated severe transcription latency. Our user-facing voice agents finally feel production-ready because the lag from voice-to-text has been flattened.