AEI—ArtificialArtificialIntelligence
AGI Tomorrow, AEI Today
Continuous Evolution, Relentless Efficiency—AEI From Model Customization To Ultra-Fast Inference.
Eigen helps business own their AI, smarter, faster and cheaper
Most AI platforms trade away control or leave performance on the table. We combine full ownership, full-stack optimization, and a self-improving loop to deliver durable, compounding advantages.
Own Your AI
Your AI stays yours—models, weights, data, infrastructure, and IP. Deploy securely in your preferred environment (VPC, on-prem, edge, or hybrid) with clear controls, auditability, and long-term independence.
Full-Stack Performance
We optimize the entire stack—post-training, compression, context engineering, runtime scheduling, orchestration, and GPU kernels—unlocking far more speed and cost gains than prompt tweaks on closed-source models.
Self-Evolving Loop
We automate the fine-tune → inference → data loop. The system learns from real usage, curates training data, and keeps improving quality and ROI without constant manual effort.
High-Performance AI, Unlocking Full Potential
Three outcomes, one system: faster inference, stronger accuracy, and dramatically lower cost. We tune models and infrastructure together to maximize real-world performance per dollar.
Blazing 10× Faster Inference
Optimized TTFT, tokens/sec, and end-to-end latency. Independent comparisons highlight our performance across popular model endpoints—turning speed into a measurable advantage.
RL-Boosted Top-Ranked Accuracy
Our RL post-training sharply improves task success and reasoning robustness. We validate on demanding benchmarks—HLE, WorkArena, T2-Bench, and CURE-Bench—so quality improvements show up in real workflows, not just demos.
10× Lower Cost
Cut unit economics dramatically with specialized models and systems optimization. Through compression, efficient serving, and smarter orchestration, customers see up to 10× cost reduction versus baseline deployments on comparable quality targets.
Eigen helps business own their AI, smarter, faster and cheaper
Most AI platforms trade away control or leave performance on the table. We combine full ownership, full-stack optimization, and a self-improving loop to deliver durable, compounding advantages.
Own Your AI
Your AI stays yours—models, weights, data, infrastructure, and IP. Deploy securely in your preferred environment (VPC, on-prem, edge, or hybrid) with clear controls, auditability, and long-term independence.
Full-Stack Performance
We optimize the entire stack—post-training, compression, context engineering, runtime scheduling, orchestration, and GPU kernels—unlocking far more speed and cost gains than prompt tweaks on closed-source models.
Self-Evolving Loop
We automate the fine-tune → inference → data loop. The system learns from real usage, curates training data, and keeps improving quality and ROI without constant manual effort.
High-Performance AI, Unlocking Full Potential
Three outcomes, one system: faster inference, stronger accuracy, and dramatically lower cost. We tune models and infrastructure together to maximize real-world performance per dollar.
Blazing 10× Faster Inference
Optimized TTFT, tokens/sec, and end-to-end latency. Independent comparisons highlight our performance across popular model endpoints—turning speed into a measurable advantage.
RL-Boosted Top-Ranked Accuracy
Our RL post-training sharply improves task success and reasoning robustness. We validate on demanding benchmarks—HLE, WorkArena, T2-Bench, and CURE-Bench—so quality improvements show up in real workflows, not just demos.
10× Lower Cost
Cut unit economics dramatically with specialized models and systems optimization. Through compression, efficient serving, and smarter orchestration, customers see up to 10× cost reduction versus baseline deployments on comparable quality targets.
Frontier Model Library, Always Up To Date
Serve the latest open and frontier models through an optimized, continuously updated, production-ready stack.
Deepseek V3.1Advanced AI reasoning powered by Deepseek V3.1 — optimized for coding and agent workflows.
Qwen3 235B VL InstructTongyi Qianwen's vision-language model with visual agent and multimodal reasoning.
Diverse Model Application Scenarios
EigenAI helps you address diverse customized application scenario requirements.
Multimodal Search & Retrieval
Query text and images with vague or partial signals, and retrieve precise results at scale. Instantly identify, tag, and surface critical moments from massive multimodal datasets.
Instant Image & Video Creation + Editing
Create and refine images/videos from text + visual inputs—object swaps, background edits, style control, and pacing adjustments—fast and controllable.
Tool-Using Agent Systems
Automate workflows across apps and APIs (search, SQL, docs, tickets, scheduling, internal tools) with verifiable actions, controllable policies, and production-grade observability.
Real-Time Voice Agents
Power support, sales, concierge, and tutoring with streaming speech + reasoning, interruption handling, and tool calls for real-time resolution and follow-through.
Real-Time On-Device Inference
Run compact, optimized models on phones, PCs, and embedded devices (online or offline) for real-time text + vision understanding while keeping sensitive data on-device.
Real-Time Avatar
For reception, customer support, tutoring, and other high-demand scenarios, deliver natural multimodal interaction with low latency, high reliability, and consistent persona behavior.
Industry-Leading Scenario-Based Solutions
Proven AI workflows tailored to real-world use cases across industries
Bringing Transformer Audio Models to Custom Edge Hardware (Analog Devices)
Analog Devices aims to deploy advanced audio and speech models directly on their in-house devices, powered by a heterogeneous architecture combining CPU, NPU, and DSP. Traditional neural-network pipelines were difficult to scale to transformer models and could not fully utilize the available hardware acceleration. Our platform provides a complete model optimization and inference toolchain that supports training and deploying transformer models at multiple sizes, tailored for audio and speech workloads such as keyword spotting and noise reduction. With TinyChatEngine and TinyEngine, Analog Devices can achieve low-latency, high-efficiency inference across their custom hardware stack, enabling reliable on-device intelligence without reliance on cloud connectivity.
What Our Customers Are Saying
The Following Feedback All Comes From Real Customers Of Eigen AI
Complete AI Model Lifecycle Management
Design, Align, Optimize, And Operate Models In One Workflow—Go From Idea To SLA-Backed Production Without Managing Infrastructure.
Complete AI Model Lifecycle Management
Design, Align, Optimize, And Operate Models In One Workflow—Go From Idea To SLA-Backed Production Without Managing Infrastructure.
Learn more about Eigen AIEigen Data
Rapidly Generate High-Quality Training Data At Scale With Minimal Cost. Our Platform Helps You Bootstrap And Expand Datasets Aligned With Your Target Objectives, Continuously Improving Data Quality As Your Use Case Evolves.
Eigen Train
Turn Data Into Models With Full Visibility And Control. Seamlessly Feed Prepared Data Into Fine-Tuning Workflows And Closely Monitor Training Progress, Performance Metrics, And Outcomes To Ensure Models Meet Business Requirements.
Eigen Inference
Accelerate Inference Without Compromising Quality. Optimized Inference Pipelines Deliver Higher Throughput And Lower Latency While Preserving Model Accuracy, Reducing Compute Consumption And Overall Serving Costs.
Latest Updates From Eigen AI
Tracking Our Latest Research, Systems Work, And Real-World Performance Wins
Start Building Today
Instantly Run Popular And Specialized Models On Eigen AI. Our Team Is Here To Help You Ship AEI Into Production Faster Than Ever.
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