Braintrust · 0 reviews

Braintrust

Unified platform for building, evaluating, and deploying production-grade AI applications with confidence.

Large Language Model Operationalization (LLMOps) Software

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About Braintrust

Braintrust is a unified AI development platform designed to accelerate the creation and deployment of production-grade AI applications. The platform seamlessly integrates code and prompt development with intuitive tools for model evaluation, log analysis, and comprehensive testing throughout the AI lifecycle. Braintrust empowers development teams to move from experimentation to production with confidence by providing visibility into model performance, enabling systematic evaluation across multiple models and datasets, and facilitating collaborative debugging. The platform streamlines workflows for LLM applications, reducing time-to-production while improving reliability and scalability. Through AiDOOS integration, teams gain enhanced governance capabilities, optimized resource allocation, and seamless deployment orchestration, enabling enterprises to manage complex AI workloads with improved observability and control across their AI stack.

Challenges It Solves

Lack of systematic evaluation and testing frameworks for AI models in production environments
Difficulty tracking and analyzing model performance across multiple versions and datasets
Fragmented tooling requiring multiple platforms for development, testing, and monitoring
Insufficient visibility into prompt behavior and model outputs for debugging and optimization
Challenges maintaining reproducibility and governance in collaborative AI development

Reduced time-to-production for AI applications

Improved model evaluation and performance visibility

Decreased debugging and iteration cycles

Use Cases

LLM Application Development

Teams building conversational AI, content generation, or reasoning-based applications can leverage Braintrust to systematically evaluate different model choices, optimize prompts, and ensure consistent performance before production deployment.

72% Accelerated development cycles for LLM products

Multi-Model Comparison & Selection

Organizations evaluating multiple language models or AI providers can use Braintrust's evaluation framework to systematically compare performance, cost, and latency across different model options.

58% Data-driven model selection and optimization

Production AI Monitoring

Enterprises deploying AI applications in production environments benefit from Braintrust's logging and analysis capabilities to monitor performance, detect degradation, and troubleshoot issues in real-time.

65% Improved production reliability and reduced downtime

Collaborative AI Engineering

Cross-functional teams developing AI solutions gain visibility and collaboration features that enable effective communication about model behavior, debugging insights, and optimization strategies.

52% Enhanced team collaboration and reduced miscommunication

Compliance & Governance

Regulated industries can maintain audit trails, version control, and performance documentation required for compliance, with full traceability of model changes and evaluation results.

48% Complete audit trails for regulatory compliance

Pricing

Pricing available on request

Braintrust pricing is customized based on your team size, integrations, and requirements. AiDOOS will get you a scoped proposal — for free.

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Key Features

Unified Development Environment

Integrated code and prompt development in one platform

Eliminate context switching between tools and platforms

Model Evaluation Framework

Systematic comparison and testing of multiple models

Quantify performance differences across model variants

Comprehensive Logging & Analysis

Full visibility into model inputs, outputs, and performance metrics

Identify bottlenecks and optimize application performance

Prompt Engineering Tools

Intuitive interface for prompt design and iteration

Accelerate prompt optimization and reduce experimental cycles

Collaborative Debugging

Team-based visibility and shared analysis capabilities

Faster problem resolution and knowledge sharing

Production Monitoring

Real-time tracking of AI application performance

Proactively identify and resolve production issues

Reviews

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Enterprise Readiness

API Authentication

Data Isolation

Audit Logging

Encryption in Transit

Role-Based Access Control

Integrations

7 total apps

Direct integration with OpenAI models for seamless model evaluation and comparison

Native support for Claude models with performance logging and evaluation

Integration with Cohere models for multi-model evaluation workflows

Access to HuggingFace model hub for local and hosted model evaluation

Version control integration for tracking prompt and code changes

Notifications and alerts for model performance changes and test results

Native SDKs for programmatic integration into development workflows

AiDOOS Managed Deployment

Deploy Braintrust in

AiDOOS handles setup, CRM integration, SSO config, and user provisioning. Your team goes live — not your IT department.

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Deployments

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Adoption rate

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Post-deploy sat.

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Time to value

Prerequisites

Configuration Options

Virtual Delivery Center · A new delivery category

A Virtual Delivery Center for Braintrust

Pre-vetted experts and AI agents in the loop, assembled as a delivery pod. Pay in Delivery Units — universal pricing across roles, seniority, and tech stacks. No hiring, no contracting, no procurement cycle.

Plans from $2,000 — Starter Pack, 10 Delivery Units, 90 days
Refundable on unused Delivery Units, anytime — no questions asked
Re-delivery guarantee on acceptance miss
Pre-flight delivery sizing — you see the plan before you commit

Get a delivery plan for Braintrust What’s a Virtual Delivery Center?

How a Virtual Delivery Center delivers Braintrust

Outcome-based delivery via AiDOOS’s VDC model. Why VDC vs traditional consulting? →

Outcome-Based

Pay for results, not hours

Milestone-Driven

Clear deliverables at each phase

Expert Network

Access to certified specialists

Implementation Timeline

Discover

Requirements & assessment

Integrate

Setup & data migration

Validate

Testing & security audit

Rollout

Deployment & training

Optimize

Performance tuning

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Frequently Asked Questions

What models does Braintrust support?

Braintrust supports major model providers including OpenAI, Anthropic, Cohere, and local HuggingFace models. The platform is model-agnostic and continuously expands provider support.

Can Braintrust integrate with our existing CI/CD pipeline?

Yes, Braintrust provides comprehensive APIs and SDKs for Python and Node.js, enabling seamless integration with existing development workflows and CI/CD systems.

How does Braintrust help with production monitoring?

Braintrust logs all model invocations in production, tracking inputs, outputs, latency, and costs. This enables real-time performance monitoring, anomaly detection, and issue troubleshooting.

Is Braintrust suitable for regulated industries?

Yes, Braintrust provides audit trails, version control, and comprehensive documentation needed for compliance. AiDOOS integration further enhances governance and audit capabilities.

What collaboration features does Braintrust offer?

Braintrust enables team-based evaluation, shared analysis, and collaborative debugging with visibility into model behavior, performance metrics, and test results across team members.

How quickly can we get started with Braintrust?

Braintrust offers straightforward onboarding with SDK integration typically taking hours. The platform provides templates and documentation to accelerate initial setup and configuration.