Bright Data stands at the forefront of data acquisition, empowering companies to collect essential structured and unstructured data from countless websites through innovative technology. Our advanced proxy networks facilitate access to complex target sites by allowing for accurate geo-targeting. Additionally, our suite of tools is designed to circumvent challenging target sites, execute SERP-specific data gathering activities, and enhance proxy performance management and optimization. This comprehensive approach ensures that businesses can effectively harness the power of data for their strategic needs.
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StackAI is an enterprise AI automation platform built to help organizations create end-to-end internal tools and processes with AI agents. Unlike point solutions or one-off chatbots, StackAI provides a single platform where enterprises can design, deploy, and govern AI workflows in a secure, compliant, and fully controlled environment.
Using its visual workflow builder, teams can map entire processes — from data intake and enrichment to decision-making, reporting, and audit trails. Enterprise knowledge bases such as SharePoint, Confluence, Notion, Google Drive, and internal databases can be connected directly, with features for version control, citations, and permissioning to keep information reliable and protected.
AI agents can be deployed in multiple ways: as a chat assistant embedded in daily workflows, an advanced form for structured document-heavy tasks, or an API endpoint connected into existing tools. StackAI integrates natively with Slack, Teams, Salesforce, HubSpot, ServiceNow, Airtable, and more.
Security and compliance are embedded at every layer. The platform supports SSO (Okta, Azure AD, Google), role-based access control, audit logs, data residency, and PII masking. Enterprises can monitor usage, apply cost controls, and test workflows with guardrails and evaluations before production.
StackAI also offers flexible model routing, enabling teams to choose between OpenAI, Anthropic, Google, or local LLMs, with advanced settings to fine-tune parameters and ensure consistent, accurate outputs.
A growing template library speeds deployment with pre-built solutions for Contract Analysis, Support Desk Automation, RFP Response, Investment Memo Generation, and InfoSec Questionnaires.
By replacing fragmented processes with secure, AI-driven workflows, StackAI helps enterprises cut manual work, accelerate decision-making, and empower non-technical teams to build automation that scales across the organization.
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Connected Papers
Connected Papers serves as a groundbreaking visual tool designed to assist researchers and applied scientists in exploring and understanding academic literature pertinent to their fields of interest. By inputting a "seed paper," users can generate a visual graph that displays associated papers, leveraging a similarity metric derived from co-citation and bibliographic coupling analysis. This approach allows users to identify important literature that may not have direct citations linking it to their initial work. The resulting graph provides an intuitive visual depiction of the research landscape, underscoring pivotal studies and indicating potential avenues for further exploration. Through its objective of streamlining the literature review process, Connected Papers aims to enhance efficiency and comprehensiveness for researchers, ultimately leading to a more profound comprehension of their disciplines. Additionally, this tool promotes a holistic perspective on research by uncovering unexpected connections between diverse studies, enriching the overall academic dialogue. By fostering these connections, Connected Papers not only aids in literature discovery but also inspires new ideas and collaborations among scholars.
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Sciscoper
Sciscoper is an innovative AI-powered research assistant crafted to streamline and accelerate the literature review process for professionals in STEM disciplines, such as researchers, academics, and R&D teams. Researchers often grapple with the overwhelming task of managing vast arrays of scientific papers from diverse sources, making it challenging to extract meaningful insights efficiently.
To tackle this problem, Sciscoper employs advanced AI and natural language processing technologies to automatically:
- Provide concise summaries of scientific articles and research findings.
- Uncover essential insights, concepts, and connections within various documents.
- Generate comprehensive literature reviews complete with citations formatted in multiple styles.
- Arrange and classify papers into a structured, searchable knowledge repository for easy access.
As a result, users can significantly reduce the amount of time dedicated to monotonous reading and note-taking, allowing them to focus more on analyzing results, identifying gaps for future research, and enhancing the body of scientific knowledge. With its ability to redefine the literature review experience, Sciscoper ultimately fosters more productive research endeavors and drives innovation in the scientific community.
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