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Altimate AI

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About

Altimate AI acts as an intelligent layer for data ecosystems, providing "AI teammates" designed to streamline analytics and platform engineering workflows. The platform integrates deeply with tools like dbt, Snowflake, and Databricks, assisting users in writing SQL, converting queries into dbt models, and generating comprehensive documentation automatically. By maintaining full context across a company's data stack, these AI agents can remember past work, adapt to specific team standards, and provide intelligent suggestions directly within common coding environments like VSCode, Cursor, and Windsurf. The system operates on a local-first architecture, which is a significant differentiator for security-conscious organizations. Credentials and actual customer data are stored and processed locally on the user's machine, ensuring that sensitive information never leaves the work environment. The platform includes a PII Guardrails feature that automatically sanitizes or blocks sensitive data before it reaches third-party LLMs or agentic interfaces. This allows teams to leverage the power of generative AI for data tasks while maintaining SOC 2 Type II compliance and strict data privacy standards. For analytics engineers, Altimate AI simplifies the complexities of dbt development by offering real-time column lineage, automated testing, and smart-complete capabilities. Platform engineers can use the tool to automate infrastructure management, monitor warehouse costs, and plan migrations between major platforms like Snowflake and BigQuery. The inclusion of a Knowledge Hub and Memory Hub ensures that institutional knowledge is preserved and easily accessible, reducing the time spent on redundant tasks and context switching across the data lifecycle. What sets Altimate AI apart is its focus on enterprise-grade guardrails combined with deep technical integration into the modern data stack. Unlike generic AI coding assistants, it understands the specific nuances of data lineage, transformation, and warehouse optimization. It supports a variety of deployment options, including a Python package and CLI-based tools. This flexibility, coupled with a transparent metadata-only collection policy, makes it a specialized solution for data-heavy enterprises looking to scale their engineering output without compromising on data sovereignty.

Pros & Cons

Maintains SOC 2 Type II compliance and enterprise-grade security controls.

Local-first architecture ensures raw data and credentials never leave the user's environment.

Provides deep, out-of-the-box integration with the full data stack including Snowflake and dbt.

Automates repetitive manual tasks like writing dbt documentation and generating tests.

Supports modern AI-native coding environments like Cursor, Windsurf, and Claude Code.

The Community and Pro tiers are governed by a monthly credit system that limits usage.

Advanced features like custom AI teammates and private knowledge hubs are restricted to Enterprise.

Certain cost-saving modules for Tableau and warehouses require a custom Enterprise contract.

Use Cases

Analytics engineers can automate the conversion of raw SQL into dbt models while generating real-time lineage and documentation.

Platform engineers can utilize AI agents to monitor Snowflake infrastructure costs and automate cross-platform migrations.

Data security teams can deploy automated PII guardrails to ensure sensitive data is sanitized before developers use generative AI tools.

Platform
Web
Task
data teammates

Features

infrastructure migration assistance

vscode & cursor integration

automated data quality testing

snowflake cost monitoring

dbt documentation generation

automated pii guardrails

real-time column lineage

sql to dbt model conversion

FAQs

Does Altimate AI use my data to train its models?

No, the platform only utilizes metadata for its operations and does not use actual customer data for model training or improvements. Your data is never shared with other customers or third parties.

How are my warehouse credentials stored and managed?

All credentials are encrypted and stored locally on your machine using your IDE's secure storage API. Connections are established directly from your environment, ensuring credentials never leave your machine.

What kind of data does the platform collect?

Altimate AI collects minimal metadata necessary for functionality, such as usage statistics and configuration settings. Users can optionally enable a Memory Hub to store high-level task summaries locally for better AI context.

How does the PII Guardrails feature protect sensitive data?

The feature automatically detects, sanitizes, or blocks personally identifiable information based on your policies. This prevents sensitive data from being exposed to agentic interfaces like GitHub Copilot or Cursor.

Is Altimate AI compliant with industry security standards?

Yes, the platform is SOC 2 Type II certified and maintains enterprise-grade security controls. It utilizes a local-first architecture and hosts its SaaS components within isolated AWS private VPCs.

Pricing Plans

Pro
USD29.00 / per month

Starts at 200 credits per month

Limits at 500 credits per month

Everything in Community

VSCode integration

Python package

Community Slack channel

Enterprise
Unknown Price

Custom number of credits

Custom AI Teammates (Python/OpenAPI)

Knowledge Hub (Private Links)

Warehouse & Tableau cost savings

RBAC, SSO, and Configurable security

Priority Support with SLAs

Training Services

Community
Free Plan

200 initial credits

100 monthly credits thereafter

Knowledge Hub (public links)

dbt models/docs/tests generation

Real-time column lineage

VSCode & Cursor support

Python package access

Claude Code & Windsurf support

Job Opportunities

Altimate AI favicon
Altimate AI

Forward Deployed Software Engineer (Data)

Accelerate dbt development and optimize data workflows with AI teammates that provide real-time lineage, automated documentation, and enterprise-grade PII protection.

engineeringremotefull-time

Education Requirements:

  • Bachelor's or Master's degree in Computer Science or a related technical field

Experience Requirements:

  • 4+ years of professional software engineering or data engineering experience

  • Expert proficiency in Python

  • Deep, hands-on experience with the modern data stack

Other Requirements:

  • Experience in a Forward Deployed, Solutions Architect, or Customer-Focused Engineering role for a B2B SaaS product

  • Familiarity with Data Governance, Data Quality, and Data Observability principles

  • Strong communication skills

Responsibilities:

  • Lead the technical implementation, integration, and optimization of Altimate AI's platform

  • Serve as the primary technical point of contact for key accounts

  • Develop custom scripts, integrations, and tools using Python

  • Troubleshoot, diagnose, and resolve complex technical issues

  • Contribute to the core product by identifying common integration patterns

Show more details

Forward Deployed Software Engineer-Data

Accelerate dbt development and optimize data workflows with AI teammates that provide real-time lineage, automated documentation, and enterprise-grade PII protection.

engineeringonsiteSunnyvale, USfull-time

Education Requirements:

  • Bachelor's or Master's degree in Computer Science or a related technical field

Experience Requirements:

  • 4+ years of professional software engineering or data engineering experience

  • Expert proficiency in Python

  • Deep, hands-on experience with the modern data stack

Other Requirements:

  • Experience in a Forward Deployed, Solutions Architect, or Customer-Focused Engineering role for a B2B SaaS product

  • Familiarity with Data Governance, Data Quality, and Data Observability principles

  • Strong communication skills

Responsibilities:

  • Lead the technical implementation, integration, and optimization of Altimate AI's platform

  • Serve as the primary technical point of contact for key accounts

  • Develop custom scripts, integrations, and tools using Python

  • Troubleshoot, diagnose, and resolve complex technical issues

  • Contribute to the core product by identifying common integration patterns

Show more details

Founding Generative AI Engineer - India

Accelerate dbt development and optimize data workflows with AI teammates that provide real-time lineage, automated documentation, and enterprise-grade PII protection.

Benefits:

  • Competitive salary and equity

  • Access to cutting-edge AI infrastructure and resources

  • Team offsite (US)

  • Learning budget for AI courses, books, and resources

  • Dynamic and intellectually stimulating work environment

Experience Requirements:

  • 5+ years of hands-on ML/AI experience

  • At least 1 year of hands-on experience in GenAI/LLM projects

  • Track record of successfully deploying ML/AI systems in production

  • Experience working with enterprise customers

Other Requirements:

  • Expertise in semantic search and embedding models

  • Experience in LLM frameworks (LangChain, LlamaIndex) and agentic AI systems

  • Advanced model fine-tuning techniques

Responsibilities:

  • Design and implement sophisticated multi-agent systems

  • Build and optimize retrieval-augmented generation pipelines

  • Implement advanced techniques (LoRA, Prompt Tuning) to adapt off-the-shelf models

  • Develop and optimize cloud-native architectures (AWS, Kubernetes)

  • Implement robust security measures for LLM applications

Show more details

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