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Building AI systems that actually work is hard. We help you cut through the noise, pick the right models, and ship faster.

Submit your challengeSee how we help

How We Help

From quick model recommendations to full production deployments. Same rigorous methodology we use for our public benchmarks.

1. Model Selection2. Benchmarking3. Architecture4. ProductionGet Started
1

Model Selection

Find the right model for your use case

We benchmark models on your actual data, not synthetic benchmarks. Get recommendations backed by real-world performance metrics.

?Which OCR model works best for my invoice format?
?GPT-4 vs Claude vs open-source for my chatbot?
?Best embedding model for my domain?
2

Custom Benchmarking

Your data, rigorous methodology

We run the same rigorous evaluations we use for public benchmarks - on your proprietary data. Get actionable metrics, not marketing claims.

?OCR accuracy on our document types
?Latency vs accuracy tradeoffs
?Cost per inference analysis
3

Architecture Review

Build systems that scale

From RAG pipelines to multimodal agents, we help you design ML systems that are maintainable, observable, and cost-effective.

?RAG vs fine-tuning decision
?Multi-agent orchestration patterns
?Evaluation pipeline design
4

Production Guidance

From POC to production

Models that work in notebooks often fail in production. We help you build robust systems with proper monitoring, fallbacks, and scaling.

?Latency optimization
?Batch vs real-time tradeoffs
?Monitoring and observability

How It Works

From first contact to actionable results. Typically under 2 weeks.

1

Submit Your Challenge

Describe your ML problem, constraints, and timeline. Takes 2 minutes.

We review within 24-48 hours
2

Initial Assessment

We reply with initial recommendations, questions, and whether we can help.

Free for simple questions
3

Deep Dive (if needed)

For complex problems, we propose a focused engagement: benchmark, architecture review, or hands-on implementation.

Scoped and priced upfront
4

Actionable Results

You get a clear recommendation with supporting data. No 50-page reports - just what you need to decide and build.

Typically 1-2 weeks

Areas of Expertise

Deep experience across the ML landscape. Not generalists - specialists who've shipped production systems.

OCR & Document AI

Invoice processingDocument classificationHandwriting recognitionLayout analysis

LLM Applications

RAG pipelinesAgent architecturesPrompt engineeringEvaluation frameworks

Speech & Audio

ASR model selectionReal-time transcriptionVoice activity detectionSpeaker diarization

Computer Vision

Object detectionImage classificationVideo understandingOCR in the wild

What are you trying to build?

Describe your challenge. We'll reply with recommendations within 48 hours.

The more context you provide, the better our recommendations.

Free for simple questions. Complex evaluations or hands-on work may be offered as paid consulting.

Prefer email? Reach us at consulting@codesota.com

The Complete Pipeline

Your Challenge
→
Assessment
→
Benchmarking
→
Recommendation
→
Working Solution

We use the same methodology for client work that we use for our public benchmarks. Rigorous testing, transparent metrics, actionable results.