Fixie ai

Name: Fixie ai
Brand: Ultravox.ai

AI Native

Ultravox AI is a speech-native, real-time voice agent platform that provides audio-in/audio-out APIs and SDKs for building speech-to-speech conversational agents and combines a managed realtime service with publicly available model weights and code.

Est 2022|Valuation $51.5M|Raised $16.5M|6 Ref Customers

LinkedIn 6K|Web traffic 20K|FTEs 15|HQ Seattle, Washington, US

MarketsInteractive Voice Response (IVR)Agent Builder Platforms

01Competitive Landscape

| Aspect | Ultravox AI (Ultravox Realtime) | OpenAI Realtime API | Hume AI (EVI) | |---|---|---|---| | Starting Price | Published pay-as-you-go and subscription tiers with per-minute pricing; enterprise/custom plans available | Varies by model and usage (not captured in this dataset) | Varies by plan (not captured in this dataset) | | Typical Fit | Organizations seeking speech-native speech-to-speech with BYOT telephony and open-weight options | Organizations standardized on OpenAI technologies and ecosystem | Use cases prioritizing emotional prosody and expressive voice fidelity | | Key Strength | Speech-native processing approach; developer APIs; open-weight model plus managed service | Broad ecosystem and integrations | Focus on expressiveness / affective voice modeling | | Key Weakness | Public documentation of enterprise compliance artifacts is limited; sparse presence on major review platforms | Some anecdotal reports of VAD/turn-taking behavior in certain scenarios | Procurement fit and telephony integration readiness not fully assessed here | Narrative analysis - Direct competitors and differentiators - The vendor positions the product around speech-native processing rather than a transcribe-first pipeline and operates an inference stack designed for real-time voice interactions. - The availability of model weights and code in public repositories may reduce perceived vendor lock-in; however, self-hosting and operationalizing open-weight models in production requires significant engineering and infrastructure. - Feature comparison: where the product may excel vs lag - Potential areas of relative strength: - Latency and turn-taking handling (vendor-developed endpointing and VAD approaches) - Telephony flexibility through BYOT approaches - Tool-calling and RAG support within a voice-first platform - Potential areas of relative weakness: - Procurement readiness for organizations requiring SOC 2/ISO/DPAs if those artifacts are not available publicly - Buyer confidence in broader market reviews due to limited visibility on mainstream vendor review platforms - Pricing comparison - The vendor's published per-minute rate is straightforward to model for voice-minute cost forecasts; comparative cost advantages versus competitors should be validated with detailed usage profiles and any available volume or enterprise discounts. - Customer testimonials comparing products - Community statements include anecdotal comparisons favoring the platform in specific contexts; these are not statistically representative but may be informative for exploratory evaluation. - Market share and adoption trends - No independent market-share estimates were identified in the sources reviewed. - Vendor statements about monthly interaction volumes were observed but were not independently validated in this review.

01Competitive Landscape

Aspect	Ultravox AI (Ultravox Realtime)	OpenAI Realtime API	Hume AI (EVI)
Starting Price	Published pay-as-you-go and subscription tiers with per-minute pricing; enterprise/custom plans available	Varies by model and usage (not captured in this dataset)	Varies by plan (not captured in this dataset)
Typical Fit	Organizations seeking speech-native speech-to-speech with BYOT telephony and open-weight options	Organizations standardized on OpenAI technologies and ecosystem	Use cases prioritizing emotional prosody and expressive voice fidelity
Key Strength	Speech-native processing approach; developer APIs; open-weight model plus managed service	Broad ecosystem and integrations	Focus on expressiveness / affective voice modeling
Key Weakness	Public documentation of enterprise compliance artifacts is limited; sparse presence on major review platforms	Some anecdotal reports of VAD/turn-taking behavior in certain scenarios	Procurement fit and telephony integration readiness not fully assessed here

Narrative analysis

Direct competitors and differentiators
- The vendor positions the product around speech-native processing rather than a transcribe-first pipeline and operates an inference stack designed for real-time voice interactions.
- The availability of model weights and code in public repositories may reduce perceived vendor lock-in; however, self-hosting and operationalizing open-weight models in production requires significant engineering and infrastructure.
Feature comparison: where the product may excel vs lag
- Potential areas of relative strength:
  - Latency and turn-taking handling (vendor-developed endpointing and VAD approaches)
  - Telephony flexibility through BYOT approaches
  - Tool-calling and RAG support within a voice-first platform
- Potential areas of relative weakness:
  - Procurement readiness for organizations requiring SOC 2/ISO/DPAs if those artifacts are not available publicly
  - Buyer confidence in broader market reviews due to limited visibility on mainstream vendor review platforms
Pricing comparison
- The vendor's published per-minute rate is straightforward to model for voice-minute cost forecasts; comparative cost advantages versus competitors should be validated with detailed usage profiles and any available volume or enterprise discounts.
Customer testimonials comparing products
- Community statements include anecdotal comparisons favoring the platform in specific contexts; these are not statistically representative but may be informative for exploratory evaluation.
Market share and adoption trends
- No independent market-share estimates were identified in the sources reviewed.
- Vendor statements about monthly interaction volumes were observed but were not independently validated in this review.

Aspect

Ultravox AI (Ultravox Realtime)

OpenAI Realtime API

Hume AI (EVI)

Starting Price

Published pay-as-you-go and subscription tiers with per-minute pricing; enterprise/custom plans available

Varies by model and usage (not captured in this dataset)

Varies by plan (not captured in this dataset)

Typical Fit

Organizations seeking speech-native speech-to-speech with BYOT telephony and open-weight options

Organizations standardized on OpenAI technologies and ecosystem

Use cases prioritizing emotional prosody and expressive voice fidelity

Key Strength

Speech-native processing approach; developer APIs; open-weight model plus managed service

Broad ecosystem and integrations

Focus on expressiveness / affective voice modeling

Key Weakness

Public documentation of enterprise compliance artifacts is limited; sparse presence on major review platforms

Some anecdotal reports of VAD/turn-taking behavior in certain scenarios

Procurement fit and telephony integration readiness not fully assessed here