Product
Released Clawbake, an open-source Kubernetes system enabling team members to spin up isolated OpenClaw AI agent instances managed via web dashboard or Slack.
Isolated environments with independent namespaces, API keys, and storage
Slack integration with /clawbake commands for instance management
Kubernetes operator pattern with automatic drift correction
Network, credential, and workload isolation across users
Product
Evaluate model outputs using cosine similarity for organizations without established eval datasets. Compare model performance to optimize for speed and cost without needing ground-truth labels.
Cosine similarity scoring for text-based responses
Relative model comparison without eval datasets
Speed and cost optimization decisions from real outputs
Integration
Turn Claude Code sessions into a testing lab. Automatically evaluate prompts across different models and reasoning configurations with zero code changes.
Automatic prompt capture from Claude Code sessions
Gateway routing through api.neurometric.ai
Built-in /neurometric-status and /neurometric-replay commands
Product
Identify the fastest models for your agent workloads. Radar graph comparisons across cost, speed, and token efficiency with average 4-5x latency improvements.
Radar graph model comparisons
Latency-focused optimization (avg 4-5x speed gains)
Free access at studio.neurometric.ai
Research
Published a comprehensive checklist for evaluating AI infrastructure and deploying Small Language Models for speed and cost reduction.
Step-by-step infrastructure evaluation framework
SLM deployment guide for production workloads
Cost-performance optimization strategies
Research
Explores the future of self-optimizing AI infrastructure where systems autonomously manage model selection, routing, and configuration without human intervention.
Intelligent gateway for real-time request routing
Automated model evaluation pipelines
Cost-quality optimizers with dynamic budget constraints
Integration
Import your existing Langfuse traces directly into Neurometric for instant analysis. One-click connection with automatic trace sync.
One-click Langfuse connection
Automatic trace import and sync
Supports EU and US Langfuse regions
Product
Explore 4-stage Chain of Thought reasoning across different models. Compare how models break down complex problems step by step.
4-stage CoT visualization
Side-by-side model comparison
Step-by-step reasoning analysis
Announced a post-trained GPT-4o-style model based on Arcee 400B as a free and open-source alternative for production inference.
Research
Fine-tuned a 4B parameter Small Language Model to achieve 95% accuracy on CRM-Arena, demonstrating that smaller models can outperform frontier models on domain-specific tasks.
4B parameter model fine-tuned for CRM tasks
95% accuracy — outperforming larger frontier models
Fraction of the inference cost
Research
Guide to transitioning from tactical model selection to systematic portfolio management across 10+ models with dedicated AI Model Ops infrastructure.
Portfolio management across frontier, mid-tier, SLM, and custom models
Multi-dimensional measurement at task-model-algorithm level
Continuous automated testing infrastructure
Product
Full experiment pipeline for model evaluation: configure evaluations across multiple models, run automated comparisons, and review results with LLM-as-Judge scoring.
Multi-model experiment configuration
Automated prompt evaluation across 6+ models
LLM-as-Judge pass/fail scoring
Cost, latency, and token analysis per model
Product
Added NVIDIA Nemotron models to the CRM-Arena leaderboard for testing and benchmarking against other production models.
Integration
Product
Research
Published research on how inference-time compute optimizations and task-specific algorithms improve model performance on production CRM workloads.
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