
True Fit
The Fashion Genome platform for hyper-personalized sizing and conversion optimization.

The AI-native spreadsheet for high-velocity data enrichment and autonomous research.

Spreads represents the 2026 shift from static calculation engines to agentic data environments. Unlike traditional spreadsheets that require manual formulas, Spreads utilizes a multi-LLM orchestration layer (integrating GPT-4o, Claude 3.5, and specialized scrapers) to treat every cell as a potential autonomous agent. Its technical architecture is optimized for high-throughput batch processing, allowing users to transform a single URL or company name into a fully enriched row containing verified emails, LinkedIn profiles, and technographic data. The platform’s unique 'Deep Scraper' capability bypasses traditional anti-bot measures by utilizing headless browser clusters, feeding clean HTML directly into LLM prompts for structured extraction. By 2026, Spreads has positioned itself as the middleware for GTM (Go-To-Market) teams who require the flexibility of a grid-based UI with the power of a custom-built data pipeline. It bridges the gap between low-code tools like Zapier and high-end data platforms like Clay, focusing on a 'search-and-synthesize' workflow that automates the most tedious aspects of market research and lead qualification.
Spreads represents the 2026 shift from static calculation engines to agentic data environments.
Explore all tools that specialize in scrape web data. This domain focus ensures Spreads delivers optimized results for this specific requirement.
Explore all tools that specialize in automate research workflows. This domain focus ensures Spreads delivers optimized results for this specific requirement.
Explore all tools that specialize in web scraping. This domain focus ensures Spreads delivers optimized results for this specific requirement.
A distributed headless browser cluster that renders JavaScript-heavy sites for AI extraction.
Cross-references data points across multiple LLMs to ensure factual accuracy.
Uses vector embeddings to identify duplicate records that aren't exact string matches.
Agents that can navigate sub-pages of a domain to find hidden data points like 'Privacy Officers'.
Real-time updates to cells based on external web events or social media mentions.
Dynamically generates column headers based on unstructured PDF or Text inputs.
Sequentially tries multiple data providers until a valid result is found.
Sign up via OAuth or Enterprise SSO.
Import your seed list via CSV or connect to a Google Sheet/Salesforce instance.
Define the 'Target Schema' by labeling the columns you want the AI to populate.
Configure the 'Source Agent' by selecting between Web Search, LinkedIn, or specific URLs.
Select the LLM model (e.g., Claude 3.5 Sonnet for speed, GPT-4o for complex reasoning).
Set 'Confidence Thresholds' to flag rows for manual review if AI certainty is below a specific percentage.
Run a 'Trial Batch' (first 5 rows) to validate extraction accuracy.
Execute 'Full Run' to process thousands of rows asynchronously.
Map the enriched data to your CRM using the field mapper tool.
Schedule 'Recurring Refreshes' to keep data points like headcount or news updated automatically.
All Set
Ready to go
Verified feedback from other users.
"Users praise the platform for its ability to handle complex web scraping that other tools fail at, though some find the credit costs high for massive datasets."
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