Why Your AI Needs Cobalt: Adapt, Diagnose, and Deploy with Confidence

Adapt AI to Your Use Case

The Challenge: Adapting State-of-the-Art Models to Industry-Specific Use Cases is Hard

Transforming a general-purpose model into an AI specialist for your industry is an ongoing process that continues throughout the lifecycle of the model. AI apps and agents are challenging to adapt because the interactions that occur are varied and constantly change with time. Consequently, enterprises are behind the curve in deploying LLM-based specialists and agents because they are not confident in their predictability and reliability (e.g. incorrect responses, hallucinations).

Our Solution: Cobalt – Mechanistic Interpretability for Model Evaluation

BluelightAI is a platform that helps users evaluate, adapt, and improve state of the art models for their use case. This platform provides a hub for comparing datasets, evaluation metrics, and models (open and proprietary) with specific, actionable insights into their capabilities and blind spots.

Topological data analysis (TDA) and mechanistic interpretability are essential for providing deep, actionable insights beyond standard model evaluation methods. Mechanistic interpretability tools such as sparse autoencoders (“SAEs”) and crosslayer transcoders (“CLTs”) help decompose the model’s internal functionality into interpretable features, and TDA integrates this information into coherent patterns of model behavior. Without these tools, model evaluation would be limited to high-level aggregate metrics, with no visibility into specific strengths, weaknesses, and blind spots.

What Cobalt Can Do: v0.3.9 (Released 05/15/25)

Visibility and Diagnosis

• Provides unprecedented visibility into model behavior

• Groups related features using topological data analysis to create an auditable map

• Automatically highlights specific issues with a model

• Uses mechanistic interpretability to find and diagnose failure patterns in evaluation results

Evaluation and Comparison

• Compare model scores across different evaluation datasets

• Bring your own evaluation datasets and models

Production Data Insights

• Identifies patterns of user and model behavior in unlabeled production data

• Enables manual exploration using TDA visualizations

What’s In Development: Coming Soon

Deep Model Insight

• Acts as an “MRI” for neural nets by visualizing feature activations during evaluation

• Finds model blind spots based on feature activation patterns

Evaluation Coverage

• Use built-in benchmark datasets

• Identify underrepresented features in evaluation datasets

• Construct new evaluation prompts to probe model weaknesses

Model Improvement Tools

• Suggest prompt adjustments to resolve highlighted issues

• Synthesize training data for supervised fine-tuning based on identified model weaknesses

Automated Insights

• Automated pattern identification and explanation in unlabeled production data

Why It Matters: Harness AI for Your Business

Without Cobalt, you’re limited to aggregate metrics and lack visibility into and control over your model’s internal workings. With Cobalt, you can trace failure issues to features, systematically improve performance, and confidently deploy AI specific to your use case and business.

How to Get Started: Download Cobalt Version 0.3.9

You can try the free version of Cobalt instantly by installing our Python package: pip install cobalt-ai 

Questions? Email hello@bluelightai.com or request a 15-min demo at bluelightai.com/cobalt.

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