Ektos AI

What Ektos AI does

Ektos AI is a cloud-native AI inference platform founded in 2024 that enables developers and enterprises to deploy, run, and scale open-source generative AI models without managing underlying GPU infrastructure. The platform handles model deployment, GPU configuration, quantization selection (bf16, fp8, fp16, int8), performance optimization, scaling, and continuous monitoring. Its core products are Dedicated GPU Deployments (NVIDIA L4, L40S, and H100 accelerators with configurable context length and per-minute billing) and Serverless Models (pay-per-token inference with zero cold starts). The catalog covers text LLMs (Llama 3.1/3.3, Qwen 2.5, Mistral Nemo, Gemma 2, Phi 3.5), code-specialized models (Qwen 2.5 Coder), multimodal (Pixtral 12B), audio (Whisper Large v3 Turbo), and text embeddings (GTE family) — all third-party open-source weights rather than proprietary models. All API endpoints are OpenAI-compatible, enabling drop-in migration from OpenAI client libraries.

The company operates a product-led, API-first go-to-market with self-serve signup at ektos.ai, an interactive web playground, and community engagement via Discord, LinkedIn, and X. Distribution is exclusively direct (web platform and api.ektos.ai), with no third-party resellers or marketplace listings. Revenue is generated entirely through usage-based pricing — per-minute for dedicated GPU deployments and per-1M-tokens for serverless — supplemented by prepaid credits and tiered spending limits ($50 to $50,000 per month). Flexible hosting extends the platform into enterprise procurement cycles via Bring Your Own Cloud (BYOC) and on-premise deployment options.

The company is currently in Early Access with intentionally limited rate limits and context length, signaling a pre-General Availability posture. No funding rounds, customer logos, named partnerships, management team disclosures, revenue figures, or geographic restrictions appear in available sources; the company has 1-10 employees and contact is via [email protected]. A roadmap of announced services — Fine-tuning, Offline Inference, Model Benchmarking & Evaluation, and LLM Routing — indicates planned expansion up-stack from pure inference.

Name

Ektos AI

Legal name

Ektos AI

Website

https://ektos.ai

Company type

Private

Founded year

2024

Operating status

Operating

Headcount range

1–10 employees

Short description

Ektos AI is a cloud-native AI inference platform founded in 2024 that enables developers and enterprises to deploy, run, and scale open-source generative AI models without managing GPU infrastructure. It offers dedicated GPU deployments and serverless inference via an OpenAI-compatible API, currently in Early Access.

Ownership category

akta.pro rank

Product category

Cloud AI Inference Infrastructure

NAICS

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182), Computer Systems Design Services (541512)

SIC

Services-Prepackaged Software (7372), Services-Computer Programming, Data Processing, Etc. (7370)

akta.pro primary industry

Model Serving, Inference & Deployment Platforms (APIs, Edge/On-Prem) (HDAEANAC)

akta.pro secondary industries

Model Hosting, Serving & Inference Platforms (HDAAACAB), Model Deployment, Serving & Inference Platforms (HDAAABAF)

Keywords

• AI inference platform
• GPU cloud infrastructure
• Open-source LLM hosting
• Serverless AI inference
• Dedicated GPU deployments

GTM type

B2B

Offering type

Software

Cost components

Infrastructure, Technology or R&D, Personnel, Marketing or Sales, Operations

Revenue model

1. Dedicated GPU Deployments: Billed per minute based on GPU type selected (NVIDIA L4, L40S, H100). Billing begins when deployment reaches 'ready' status and ends when deletion is initiated. No charges for startup or teardown time.
2. Serverless Model Inference: Pay-per-use pricing based on tokens processed. Text models priced by parameter size ($0.08-$0.90 per 1M tokens), embedding models priced at $0.008-$0.016 per 1M tokens.
3. Prepaid Credits: Customers can purchase prepaid credits to immediately increase their spending limit. Credits are counted against spending limits.

Pricing tiers

Go-to-market motion2 records

Distribution channels4 records

Marketing channels6 records

Core offering

Ektos AI operates a cloud-native AI inference platform that lets customers deploy and run open-source generative AI models without managing GPU infrastructure. It sells two core inference products: Dedicated Deployments (custom API endpoints on NVIDIA L4, L40S, or H100 GPUs with selectable quantization and context length) and Serverless Models (instant, zero-cold-start access to popular LLMs, audio, and embedding models billed by token or minute). The platform is delivered through an OpenAI-compatible REST API and supports fully managed, Bring Your Own Cloud (BYOC), and on-premise hosting.

Product overview

Ektos AI is a cloud platform for generative AI providing access to open-source models without infrastructure management. The platform offers two core inference products: Dedicated Deployments (deploy any model with a dedicated GPU and custom API endpoint) and Serverless Models (instant access to popular models with pay-per-use pricing). Available models include Text LLMs (Llama 3.1/3.3, Qwen 2.5, Mistral Nemo, Gemma 2, Phi 3.5, Pixtral, legml), Audio STT (Whisper Large v3 Turbo), and Text Embedding Models (GTE). Flexible hosting includes Fully Managed, BYOC (Bring Your Own Cloud), and On-premise options. Platform features include quantization selection, configurable context length, and GPU accelerator options (NVIDIA L4, L40S, H100). Announced future services include Fine-tuning, Offline Inference, Model Benchmarking, and LLM Routing.

Differentiator

Problem solved

Functional benefit

Segments3 records

Ideal customer profiles3 records

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

AI capability9 records

Feature5 records

Scale indicators2 records

Recent moves6 records

Expansion highlights6 records

Direct peers

• Together AI: Together AI offers an OpenAI-compatible API for open-source LLM inference on dedicated and serverless GPU infrastructure. It is one of the closest direct competitors to Ektos AI in the AI neocloud inference category.
• RunPod: RunPod offers dedicated and serverless GPU cloud instances (including H100s) for AI inference and training. It competes with Ektos AI on GPU pricing, instance configurability, and developer self-serve experience.
• Modal Labs: Modal provides serverless GPU compute for AI workloads with a code-first developer experience. Like Ektos AI, it targets developers who want GPU infrastructure abstracted away behind an API.
• Replicate: Replicate operates a serverless cloud for running open-source ML models via API, with pay-per-use pricing. It targets the same developer-and-AI-engineer persona as Ektos AI and overlaps heavily on open-source model hosting.
• Fireworks AI: Fireworks AI provides low-latency, OpenAI-compatible inference APIs for open-source LLMs and embedding models. It competes head-to-head with Ektos AI on model coverage, API compatibility, and usage-based pricing.

Broad incumbents

• CoreWeave: CoreWeave is a large-scale GPU cloud provider offering dedicated and serverless AI infrastructure. It serves as a broad incumbent competing for the same enterprise and developer inference workloads as Ektos AI.
• Lambda Labs: Lambda provides GPU cloud instances, clusters, and inference services at scale. It is a broader incumbent GPU cloud with overlapping inference capabilities and a more established hardware footprint than Ektos AI.
• OctoAI: OctoAI provides tuned inference infrastructure for open-source models with enterprise-grade deployment options. It is a comparable inference-platform incumbent, now part of NVIDIA's AI software stack.
• Hugging Face Inference Endpoints: Hugging Face offers dedicated inference endpoints and serverless inference for the open-source model ecosystem. It competes with Ektos AI in hosting open-source LLMs and embeddings, with a much larger model catalog and community.

Emerging players

• Lepton AI: Lepton AI offers a cloud platform for running and fine-tuning open-source LLMs with a developer-friendly API. It is an emerging AI neocloud with overlapping inference and customization capabilities.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat3 records

Key risks7 records

Key highlights6 records

Customer concentration

• Xx.com/EktosAI
• LinkedInlinkedin.com/company/ektosai

Revenue estimate

Valuation estimate

Number of profiles

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Ektos AI