Infer
Infer is the enterprise inference platform from Reka AI, a research-first startup founded by ex-DeepMind and Google researchers that burst onto the scene with Reka Core in early 2025.
Publisher review
Infer is the enterprise inference platform from Reka AI, a research-first startup founded by ex-DeepMind and Google researchers that burst onto the scene with Reka Core in early 2025. It is designed for developers, data teams, and enterprises that need to integrate multimodal AI capabilities—processing text, images, video, and audio natively—via a RESTful API with Python and JavaScript SDKs. The platform targets organizations with large-scale video or audio analysis needs, such as security, media, defense, and fleet management sectors, as well as researchers exploring state-of-the-art AI. It is not ideal for non-technical users without a development team, small projects needing transparent pricing, or content creators looking for a turnkey tool without an API.
Infer offers a model lineup spanning four sizes: Spark (1B parameters) for low-latency embedded applications, Edge (7B) for mid-range devices, Flash (21B) for balanced workloads, and Core (67B) for the most demanding enterprise tasks. Key products include Reka Vision for semantic video search and Q&A over massive archives, Reka Speech for advanced audio transcription and translation, and Reka Research for complex reasoning with integrated web search. The platform supports real-time preview and export, domain fine-tuning for specific industries, and deployment options in public cloud, private VPC, on-premise, or fully air-gapped environments. Reka also open-sources key components on Hugging Face and GitHub, reinforcing trust and flexibility.
Reka positions Infer as a high-performance alternative to Big AI, claiming a capital efficiency ratio approximately 40% above the industry average by prioritizing architectural efficiency over compute. Its competitors include major labs such as Mistral AI, Cohere, Anthropic, OpenAI, Google AI, Meta AI, Stability AI, xAI, and Inflection AI. Unlike many rivals that treat multimodality as an add-on, Reka makes it the core of its architecture, enabling native processing of text, image, video, and audio streams. The platform has a growing APAC footprint with a strong presence in North America and Europe, and is particularly relevant for organizations that need to understand the visual and auditory world at scale.
The honest trade-offs include a steep learning curve for non-technical users, as most interactions are via API or the playground with minimal end-user UI. Documentation can be incomplete for some newer product features, and premium features like lip sync are limited to more expensive plans. Customer support can be slow to respond, and the emotional range in translated voices can lack nuance, sounding monotonous. Additionally, minute counting rounds up partial minutes, and translation quality for less common languages can be inconsistent. Despite these drawbacks, Infer offers a compelling value proposition for enterprises needing precision-grade long-context processing across text, audio, and video.
How it works
-
Native multimodality
Processes text, images, video, and audio natively, enabling comprehensive understanding and analysis across different data types simultaneously.
-
Model range from 1B to 67B
Offers Spark (1B), Edge (7B), Flash (21B), and Core (67B) parameter models to suit applications from embedded devices to enterprise workloads.
-
Reka Vision for semantic video search
Enables natural-language semantic search over massive video archives, automatic highlight and clip generation, and complex temporal Q&A.
-
Flexible deployment options
Supports public cloud, private VPC, on-premise, and fully air-gapped environments to meet data sovereignty and security requirements.
-
Fast and accurate voice cloning
Produces natural-sounding translations with rapid export speeds, streamlining workflows for audio and video content.
-
Domain fine-tuning available
Allows adaptation of models to specific industries such as healthcare, finance, and manufacturing for informed decision-making.
-
Real-time preview and export
Streamlines workflow with rapid export speeds, enabling efficient processing and delivery of multimodal outputs.
Strengths and trade-offs
Strengths
- Native multimodality processes text, image, video, and audio simultaneously, unlike many competitors that treat multimodality as an add-on.
- Model range from 1B to 67B parameters covers use cases from low-latency embedded applications to the most demanding enterprise workloads.
- Flexible deployment options include public cloud, private VPC, on-premise, and air-gapped environments, supporting strict data sovereignty requirements.
- Reka Vision enables semantic video search and Q&A over massive archives, with documented case studies in security, media, and defense sectors.
Trade-offs
- No public pricing page exists; enterprise rates are available only on request, creating a barrier for small projects and non-technical users.
- Steep learning curve for non-technical users due to minimal end-user UI, with most interactions via API or the playground.
- Documentation can be incomplete for some newer product features, making it harder for developers to fully leverage the platform.
- Customer support can be slow to respond, and emotional range in translated voices can lack nuance, sounding monotonous.
Pricing context
Enterprise rates are available on request only; no public pricing tiers or per-token costs are disclosed.
Getting started with Infer
-
Sign up for Infer
Visit the Reka AI website and request enterprise access. Provide your organization details and use case. After approval, you will receive credentials to access the Infer platform and API.
-
Connect your credentials
Use the provided API key to authenticate. Install the Python or JavaScript SDK via pip or npm. Initialize the client with your key in your development environment to establish a secure connection.
-
Choose a model size
Select from Spark (1B), Edge (7B), Flash (21B), or Core (67B) based on your latency and accuracy needs. For embedded devices, use Spark; for complex tasks, use Core. Set the model parameter in your API call.
-
Process your first file
Upload a text, image, video, or audio file using the SDK's inference method. For example, call client.infer with the file path and model name. The API returns a response with the analyzed content.
-
Deploy in your environment
Configure deployment to public cloud, private VPC, on-premise, or air-gapped setup via the platform's deployment options. Follow the documentation to set up the inference server and integrate it into your production pipeline.
Frequently Asked Questions
What is Infer by Reka AI?
Infer is an enterprise inference platform from Reka AI, founded by ex-DeepMind and Google researchers. It processes text, images, video, and audio natively via a RESTful API with Python and JavaScript SDKs, targeting developers and data teams in security, media, and defense.
What models does Infer offer and how do they differ?
Infer offers four models: Spark (1B parameters) for low-latency embedded apps, Edge (7B) for mid-range devices, Flash (21B) for balanced workloads, and Core (67B) for demanding enterprise tasks. Each scales performance and resource needs for different use cases.
How does Infer handle video and audio analysis?
Infer includes Reka Vision for semantic video search and Q&A over massive archives, and Reka Speech for advanced audio transcription and translation. Both process multimodal data natively, enabling natural-language queries and rapid export of highlights or clips.
What deployment options does Infer support?
Infer supports public cloud, private VPC, on-premise, and fully air-gapped environments. This flexibility meets strict data sovereignty and security requirements, allowing enterprises to run models in their own infrastructure while maintaining control over sensitive data.
What is Infer's pricing model?
Infer does not have public pricing tiers or per-token costs. Enterprise rates are available only on request, which can be a barrier for small projects or non-technical users. This approach targets large organizations with custom needs and budgets.
Who is Infer best suited for and what are its main drawbacks?
Infer is best for developers, data teams, and enterprises needing large-scale video or audio analysis, like in security or media. Drawbacks include a steep learning curve, incomplete documentation for new features, slow support, and no public pricing.
Alternatives
- GMI Cloud ↗
- Inference.net ↗
- Northflank ↗
How Infer compares
Direct head-to-head against 3 competitors. Picked by 7wData.
Infer
- Pricing
- Enterprise rates are available on request only; no public pricing tiers or per-token costs are disclosed.
- Target
- Infer is the enterprise inference platform from Reka AI, a research-first startup founded by ex-DeepMind and Google researchers that burst onto the scene with Reka
- Strength
- Native multimodality processes text, image, video, and audio simultaneously, unlike many competitors that treat multimodality as an add-on.
- Watch for
- No public pricing page exists; enterprise rates are available only on request, creating a barrier for small projects and non-technical users.
GMI Cloud
- Pricing
- 50% lower compute costs vs alternatives, pay-as-you-go
- Target
- Enterprises needing H200 GPUs and auto-scaling
- Deployment
- Containerized, bare-metal
- Strength
- Immediate H200 access, 65% latency reduction
- Watch for
- Newer player vs hyperscalers
Inference.net
- Pricing
- Custom/Contact sales
- Target
- Teams requiring turn-key global infrastructure
- Deployment
- Fully managed
- Strength
- Dedicated uptime guarantees
- Watch for
- Limited public pricing transparency
Northflank
- Pricing
- BYOC or hosted plans
- Target
- Engineers needing full-stack control
- Deployment
- Self-hosted or cloud
- Strength
- GPU-backed workload orchestration
- Watch for
- Steeper learning curve
User reviews
No user reviews yet. Be the first to write one.
Sources
Reporting on this tool draws on these publicly available sources.