Atomiq
Atomiq provides an agentic automation platform for spreadsheets that applies a user's established best practices to new work by retrieving and reasoning over past workbooks. The platform attaches source links to every externally pulled number and logs all changes, enabling full auditability and the ability to rewind to any point in a workbook's history. It runs on multiple frontier models with active support for open-weight models to deliver token-efficient intelligence.
- AI Agents
- Artificial Intelligence
- Enterprise Software
- Software Only
Funding
Funding not disclosed
Founders
Founder details are not available yet.
Product
Problem
Generic AI tools produce results that are only about 70% accurate, and the remaining 30% requires significant manual effort to correct. Spreadsheets lack semantics and rely on relative references, making it difficult for AI agents to reason over them accurately, and the lack of auditability in spreadsheet changes creates a validation bottleneck when AI generates work at high speed.
Solution
Atomiq provides an agentic automation platform for spreadsheets that applies a user's established best practices to new work by retrieving and reasoning over past workbooks. When the agent pulls a number from a PDF or third-party source, it attaches a link back to exactly where that value came from so users can verify it inside the workbook. Every change the agent makes is logged and isolated, allowing users to see what changed, when, and why, and rewind to any point in the workbook's history. The platform runs on multiple frontier models and is actively building support for open-weight models to deliver low-cost, token-efficient intelligence while keeping humans in control of judgment calls. Users can upload an existing spreadsheet and begin working immediately, with no migration project or complex setup required.
Target Audience
Primary users are finance professionals who need deterministic, auditable AI assistance for spreadsheet work, including analysts and financial professionals who handle complex workbooks requiring consistent standards and validation.
Features
- Retrieves similar past work projects to reuse trusted formula logic and apply established standards to new tasks
- Source lineage tracking that attaches links back to exact source documents for every externally pulled number
- Complete change logging with version history allowing users to review and rewind to any point in a workbook's history
- Runs on multiple frontier models with active support for open-weight models for token efficiency
- Encrypted data in transit and at rest, built on AWS with least-privilege access controls and continuous monitoring
- Direct upload of existing spreadsheets with no migration project, lengthy implementation, or complex setup
- Designed to reduce the review surface by making clear what came from prior work versus what was generated by AI