HaiVE

A one-sentence summary

HaiVE is an AI voice intelligence platform designed for customer service and sales teams; it supports both SaaS and on-premises deployment, with a public usage fee of $0.05 per voice minute.

Tool Introduction

HaiVE AI Agent Studio is used to create, deploy, and manage AI assistants that can handle customer interactions. It brings together assistant configuration, call records, SIP lines, external numbers, data collection, and operational analysis in a single platform.

The product emphasizes that companies can run the models and customer data on their own infrastructure, or they can opt for SaaS solutions provided by the vendor. The official website positions itself as a tool for handling tickets and facilitating transactions, rather than a general-purpose chatbot for individuals.

Core product format

Main functions

Creation and behavior configuration of AI assistants

Users can set welcome messages, system prompts, the data fields that need to be collected, and call parameters, so that the assistant can respond to customers in accordance with the specific business scenarios. The public page does not list the available base models, so it is not possible to determine which LLMs are supported.

• Configure the assistant’s name, role, and greeting message.
• Use system prompts to regulate tone, process, and boundaries of responses.
• Define the fields that need to be collected during a call.
• Adjust call and conversation settings.
• Map different assistants to specified phone lines.
• Modify prompts and workflows based on business feedback.

Integration of phone and SIP

HaiVE supports SIP configuration, and its official FAQ lists telephone service providers such as Twilio, Telnyx, and Vonage. Companies can manage external phone numbers and map them to the appropriate AI assistants.

Call records and transcriptions

The platform provides call records, transcribed text, and various data fields, which facilitate operators in reviewing the course of conversations. The transcription of voice messages may contain personal, health, financial, or business-related information; therefore, access to and storage of such data must be controlled.

Analysis and Cost Monitoring

The analysis panel allows users to view the total number of minutes spent on calls, the count of calls, the average cost per call, call analytics, as well as a comparison of costs across different providers. Teams can also assess the performance of assistants by using transcription and recording data.

Customizable workflows

The data collection fields and call settings can be adjusted to suit specific business processes. The public website does not provide a complete list of external tools that can be used, as well as information on knowledge bases, manual transfers, and CRM connectors; it is necessary to verify these aspects through demonstrations before making a formal purchase.

Local deployment capability

HaiVE positions local deployment as a key differentiator for its Enterprise version; it allows models to run behind the enterprise firewall, enables customers to replace models on their own and perform offline fine-tuning, thereby reducing the risks associated with cross-border data transfers and supplier lock-in.

A value below 50 milliseconds is the marketing benchmark set by official websites, but it does not mean that this level can be achieved across all telephone networks, speech recognition systems, model generation processes, and speech synthesis mechanisms. Companies should conduct end-to-end stress tests using their own networks, languages, concurrency settings, and hardware.

Comparison between SaaS and on-premises deployment

Price and trial version

As of August 23, 2026, HaiVE’s official website lists its price at 0.05 US dollars per voice minute. The price table indicates that there is no limit on the number of minutes, but this means there is no specified upper limit on the usage time; it does not imply unlimited use for free.

Items whose prices need further confirmation

• Does $0.05 already include the costs for speech recognition, speech synthesis, LLMs, and telephone service providers?
• Are inbound and outbound calls, transfers, recording, and silent periods subject to the same billing criteria?
• Whether phone numbers, SIP trunks, operator-minute charges, and international calls incur additional fees.
• How are failed calls, unanswered calls, voice mail messages, and transfers to a human operator billed?
• Duration of the trial period, free minutes, concurrency, number of numbers, and range of features.
• Are there any minimum monthly spending requirements, fees for top-ups, issues related to expired balances, or excess charges?
• Prices for software licensing, implementation, upgrading, support, and training for on-premises deployment.

The official website compares prices by using the public rates of other voice services, and estimates the actual cost of a competing service after taking into account any additional fees. This comparison is carried out by HaiVE; the purchaser should recalculate the costs under the same conditions regarding calls, models, voice quality, and service providers.

Registration and initial setup

Create a SaaS voice assistant

1. Open the HaiVE Agent registration page and create an account using your work email and password, or a Google account.
2. Check whether the account qualifies for a trial period, and inquire about the number of free minutes, the duration of the trial, and the rules for automatic billing.
3. Create an assistant and fill in the name, welcome message, system prompt, and the fields that need to be collected.
4. Connect to the test phone service or SIP configuration, and then map the number to the assistant.
5. Use internal test numbers to make a small number of calls in order to check for delays, interruptions, transcription issues, and abnormal responses.
6. View call logs, collected fields, minutes, and average cost.
7. Revise the prompt instructions and business boundaries, and add manual confirmation for high-risk actions.
8. Gradually increase the traffic volume only after meeting the requirements regarding security, privacy, and business functionality.

Plan for local enterprise deployment

1. List voice, visual, or robotics scenarios, as well as data classification, regions, and compliance requirements.
2. Request documents on architecture, hardware, supported models, phone integration, and capacity planning from HaiVE.
3. Verify whether the system is completely offline, and how licenses, telemetry, updates, and remote support function.
4. Create an acceptance dataset using real language, accents, noise, concurrency, and phone lines.
5. Deployed in an isolated testing environment, with integration for identity management, keys, logging, monitoring, and backup.
6. It identifies risks such as prompt injection, privilege escalation tools, sensitive data leakage, misrouting, and denial of service.
7. Testing upgrades, failover, model rollback, data export, and complete deletion.
8. Specify in the contract the SLA, incident notification, vulnerability remediation, termination, and data return responsibilities.

Voice AI Agent Testing Checklist

• Test different accents, speech speeds, noise, silence, multiple speakers, and line jitter.
• Test for user interruptions, repeated questions, irrelevant inquiries, and long pauses.
• Verify the recognition of fields such as name, number, date, amount, address, and email.
• Check whether the assistant fabricates policies, prices, inventory levels, or customer records.
• Establish manual handoffs for authentication, payment, cancellation, complaints, and emergencies.
• Measure the end-to-end latency from the moment the user stops speaking to the moment the assistant starts responding.
• Check the call minutes, carrier bills, model costs, and HaiVE usage fees.
• Ensure that call recordings, transcriptions, summaries, and the fields used for data collection are accessible only to authorized users.

Telephone systems and integration

The name of the phone service provider is listed in the website’s FAQ, but this does not mean that one-click connection is available for all accounts. Companies still need to handle matters such as number acquisition, identification documents, regional restrictions, emergency calls, recording notifications, and rules regarding marketing calls.

Analysis and continuous optimization

The metrics publicly listed by HaiVE include total call minutes, number of calls, average cost per call, call analysis, and a comparison of costs among different providers. Transcription and collected data can help identify disruptions in the process as well as customer-related issues.

Companies should combine metrics such as the resolution rate, the percentage of cases transferred to human agents, customer complaints, incorrect commitments made, appointment fulfillment rates, sales conversion rates, and results of manual inspections with the platform’s indicators. Optimizing only the duration of calls or the level of automation may undermine the customer experience.

Privacy, Security, and Compliance

The HaiVE official website emphasizes data sovereignty, local processing, firewall isolation, and reduced cross-border data transfers; however, the current public version of the site does not provide an accessible privacy policy or terms of service. The links to \"Terms\" and \"Privacy\" in the footer do not lead to any actual documents, and the usual paths to such policies are also not available.

Therefore, it cannot be assumed that a solution deployed locally has obtained certain certifications, signed a DPA, or meets all industry regulations based solely on information related to its local deployment. Companies must obtain official legal, security, and data processing documents before handling voice calls from real customers.

Minimum controls for sensitive voice data

• At the start of the call, inform the AI, as required by local laws, about the purpose of recording and processing the data.
• Apart from the necessary fields, ID cards, bank cards, health information, and account passwords are not collected.
• Set minimum permissions separately for call audio, transcriptions, summaries, and exports.
• Different roles are used for administrators, operators, consultants, and developers.
• Passwords, verification codes, payment cards, and other highly sensitive fields are masked in the logs.
• Establish channels for customers to inquire, correct, delete, object, and request manual processing.
• Regular random checks are conducted for incorrect responses, unauthorized calls, biases, and security bypasses.
• Export the necessary records before shutting down the service, and verify that all environments have been deleted.

Open-source and GitHub verification

The FAQ on HaiVE’s official website claims that all functions of the platform are open-source and can be hosted locally; however, the site does not provide links to an official GitHub organization belonging to the company, nor to the specific repositories or license texts. The Haive framework with the same name that can be found through public searches is maintained by other parties, and it cannot be considered as the source code for the HaiVE product.

Until the authorities specify to whom the warehouse belongs and what the licensing terms are, the status of \"open source\" for this entry should be marked as unverified, rather than simply labeled as \"yes\". Local deployment merely indicates that the software can be installed in the customer’s environment; it does not necessarily mean that the source code is available.

Which users are it suitable for

• Customer service team: Automatically handles frequent calls, basic inquiries, and the allocation of tickets.
• Sales team: Answers inquiries, gathers requirements, and assists with making appointments or following up.
• Call center: Manage multiple agents, numbers, records, and cost metrics.
• Financial and insurance institutions: Evaluate local voice AI after meeting formal compliance requirements.
• Healthcare and public sectors: Pilots are needed for data sovereignty and proprietary infrastructure.
• System integrators: They connect SIP, telephone service providers, and enterprise processes.
• AI platform team: Seeking control over models, hardware, latency, and offline fine-tuning.
• Robotics and vision team: Assessing the low-latency local multi-modal scenarios as claimed on the official website.

Typical use cases

• Handle common inquiries outside business hours and record requests for follow-up calls.
• Ask questions about sales leads, categorize them, and schedule a consultation with a human advisor.
• Route incoming calls to different assistants or manual queues based on the customer’s intent.
• Run a voice assistant that contains sensitive customer context in a local environment.
• Compare the call costs and quality of different telephone service providers.
• Use transcription and collection fields to identify frequent issues and process bottlenecks.
• Evaluate low-latency voice, visual, or robotic interactions in controlled pilot tests.

Product advantages

• It offers both SaaS and on-premises enterprise deployment options.
• The pricing is made public on a per minute basis, which facilitates an initial estimation of the scale.
• The platform covers assistant configuration, SIP, numbers, call records, and analysis.
• It is possible to customize the welcome messages, system prompts, data collection fields, and call settings.
• It supports integration with various common telephone service providers.
• The local approach supports CPU or GPU, model replacement, and offline fine-tuning.
• The analysis includes data on minutes, number of occurrences, cost, transcription, and collection details.
• The official website provides a direct registration link as well as examples of online voice assistants.

Main limitations

• Apart from $0.05 per minute, there are no publicly available information regarding the monthly fee, minimum spending amount, or the full list of included services.
• The trial is described as available upon application, but the public registration page does not indicate any deadline or time limit.
• The prices for on-premises deployment, the hardware required, as well as the scope of implementation and support are not disclosed.
• The information regarding the regional location of SaaS data, its storage, deletion, training, as well as that related to subcontractors is not made public.
• There are no actual legal documents available under the Terms and Privacy footer items.
• There are no publicly available API, Webhook, or SDK documentation.
• The official website’s description of the open-source code lacks information regarding the repository and the license.
• For values below 50 milliseconds, there are no publicly available test boundaries or benchmark methods.
• Ready-made CRM, knowledge bases, manual handoffs, and multilingual lists are not available.
• Before starting production, companies need to conduct thorough due diligence and carry out technical POCs.

Supported platforms and interfaces

Basic information

Recommendation score

Recommendation score: 3.6 / 5. HaiVE offers clear information regarding its price per minute, local deployment options, SIP functionality, and call analysis tools; it is suitable for companies that need to control their data and models and wish to conduct a technical evaluation.

The lack of public legal documents, data policies, API documentation, complete pricing information, and verifiable open-source repositories significantly reduces transparency in procurement processes. Such approaches are more suitable for use in POCs and due-diligence processes, rather than for handling sensitive production operations without first reviewing the relevant contracts.

Frequently Asked Questions

What is HaiVE?

HaiVE is an AI voice intelligence platform designed for customer service and sales; it enables the creation of assistants, integration with SIP and external numbers, viewing and analyzing call records, and offers both SaaS and on-premises enterprise deployment options.

How much is HaiVE?

The current price listed on the official website is $0.05 per voice minute. The monthly fee, minimum spending requirements, telephone service providers, available models, as well as the costs associated with voice services and local deployment are not fully disclosed.

Is there a free version of HaiVE?

The price list states that a request is required to try out the service, while the current portal allows for public registration. The official website does not specify the duration of the trial period, the number of free minutes, or the pricing structure after the trial period ends.

Can HaiVE be deployed locally?

Yes, the official website lists local deployment as an Enterprise feature. Before proceeding with the deployment, it is necessary to determine which components will be located within the customer’s environment, and whether licenses, updates, telemetry, and remote support still require an external connection.

Which phone platforms does HaiVE support?

The official website’s FAQ lists SIP as well as Twilio, Telnyx, and Vonage. The available regions, phone numbers, inbound and outbound calls, recording options, and costs must be confirmed directly with the service providers.

Can HaiVE use its own models?

The official website claims that local deployment allows for model replacement and offline fine-tuning, but it does not disclose any support for model matrices. Companies should verify the target model, hardware, quality, and upgrade compatibility through POCs.

Does a latency of less than 50 milliseconds cover the entire call?

The public pages do not provide complete information regarding the measurement boundaries. Telephone networks, speech recognition, LLMs, as well as speech synthesis and playback all contribute to latency; therefore, end-to-end testing is necessary.

Is HaiVE open source?

The website’s FAQ claims that it is open source, but no verifiable official repository or license is provided. At this stage, it should be labeled as an open source status that has not been verified, rather than being described as a fully functional open source platform.

Does HaiVE have a public API?

The current public website does not provide official API or SDK documentation. The interfaces used within the portal are not equivalent to public APIs that customers can use reliably; the ability to integrate with these systems must be confirmed through demonstrations and contracts.

Is HaiVE suitable for healthcare and finance?

Local deployment is suitable for use in regulated environments where assessments are required, but public pages alone are not sufficient to demonstrate automatic compliance. Organizations still need to examine data processing agreements, security measures, audio notifications, model-related risks, and industry regulations.

How long are customer voice messages stored?

The official website does not specify the duration for which audio files, transcripts, logs, and backups are stored. Before real customer calls begin, the procedures for storing, deleting, exporting, and removing such data must be clearly defined in the contract.

Summary

The main advantage of HaiVE is that it combines voice agents, telephone lines, call data, and analysis to provide companies with a solution that can be deployed on their own infrastructure. A cost of 0.05 dollars per minute allows teams to quickly estimate the amount of SaaS usage.

However, the level of transparency on the current official website is still insufficient, especially with regard to legal documents, data processing, price components, public interfaces, and open-source materials. A reasonable approach is to first carry out a small-scale POC, and then decide whether to proceed to full-scale implementation based on a written contract and security reviews.