How Caesar Achieved State-of-the-Art AI Performance with Fully Managed Infrastructure

About Caesar.xyz

Caesar is a research platform that processes vast amounts of complex information for knowledge professionals, developers, and institutions working at the frontier of innovation.  Founded by Mark McKenzie, a veteran engineer with 20 years of experience across data science, fintech, and crypto, Caesar specializes in what Mark calls "the gnarly research"- using a proprietary data engineering pipeline to condense massive datasets into actionable insights. 

Currently in beta with hundreds of active users, Caesar's architecture has achieved state-of-the-art performance on complex reasoning benchmarks. The platform serves anyone who needs to move beyond surface-level research to deep synthesis and analysis across industries where comprehensive information gathering drives critical decisions.

The Challenge

Caesar faced critical infrastructure challenges that threatened to limit their innovative approach:

Development Bottlenecks

As an agentic AI startup, Caesar needed rapid model evaluation cycles and cost-efficient infrastructure. Tier restrictions and slow onboarding processes from major providers created development bottlenecks, while maintaining sophisticated data pipelines required optimal performance-cost balance.

Scalability

Caesar's inference needs surge up to 20x during peak periods while requiring up to 500K token contexts for processing massive research documents. Traditional providers demanded consistent capacity provisioning, making economics prohibitive for Caesar's volatile traffic patterns.

The Solution

When major AI providers created barriers that prevented Caesar from accessing the compute they needed, Together AI provided immediate access and comprehensive technical partnership.

Simplified UX - Minutes to get started

Immediate Access: With a simple $2,000 deposit, Caesar gained immediate access to the compute capacity they needed, avoiding weeks of approval processes that would have stalled their development.

Model Release Velocity: New models available within hours of release vs. weeks elsewhere, enabling rapid iteration cycles.

Custom Model Optimization Through Synthetic Data

Together AI's team conducted comprehensive model selection through a unique methodology that competitors don't offer. After identifying Caesar's four main use cases, Together generated 300 test examples per use case, creating 1,200 synthetic examples that reflected real workload patterns rather than generic benchmarks.

This custom approach enabled Caesar to consolidate from multiple planned models to a single optimized Maverick deployment, reducing complexity while ensuring performance across their entire pipeline.

"Together was the only provider who asked for our prompts and benchmarked them to help us understand what we needed. Your internal team literally took the prompt and load tested it for us."

Hybrid Infrastructure for Variable Traffic

Together AI's flexible deployment architecture handled Caesar's unique requirements through intelligent routing:

• Dedicated endpoints for large context tasks with predictable per-minute pricing
• Serverless endpoints for smaller workloads with automatic burst capacity
• Smart routing that optimizes performance and cost based on task complexity

Current deployment: Single Llama Maverick dedicated instance (H200) supporting 64 concurrent requests with intelligent routing based on context requirements.

Results & Impact

Together AI's unique combination of immediate access, technical partnership, and flexible infrastructure enabled Caesar to achieve breakthrough performance while maintaining cost efficiency at 2 cents per minute across their entire pipeline.

State-of-the-Art Benchmark Performance

With Together AI's reliable infrastructure and custom optimization, Caesar achieved state-of-the-art results on HLE (Humanity's Last Exam) benchmarks. The combination of Together AI's consistent model performance and dedicated instances provided the stable foundation Caesar's data pipeline required for complex reasoning tasks.

Development Velocity Advantage

Together AI's rapid model deployment enabled Caesar to evaluate new releases immediately, maintaining competitive positioning in the fast-moving AI space while competitors waited weeks for access.

Infrastructure Reliability at Scale

Together AI's hybrid approach successfully managed Caesar's extreme traffic volatility, handling surge capacity without performance degradation or infrastructure failures.

Looking Forward

As Caesar expands into collaborative research features and enterprise integrations, Together AI's platform provides the foundation for continued innovation. The combination of immediate model access, technical partnership depth, and infrastructure flexibility that brought Caesar to Together will remain essential for their next phase of growth.

"We wouldn't be where we are today without Together AI. We were able to iterate on models hours after release and scale in bursts - without the usual headaches of an infrastructure provider." — Mark McKenzie, Founder & CEO, Caesar.xyz

About Together AI

Together AI provides the fastest, most cost-effective infrastructure for running and training AI models. Our platform combines cutting-edge research optimizations with enterprise-grade reliability, enabling innovative companies like Caesar to build the next generation of AI applications.

Ready to transform your AI infrastructure? Contact our team to learn how Together can accelerate your AI development.