
Gaffa is an API for web scraping and browser automation that gives developers control over real, full browsers with a single request, no headless-browser setup, proxy management, or infrastructure scaling required. Pages render with full JavaScript support by default, matching exactly what a real user would see.
The platform covers the full range of automation needs: scraping, AI-powered data extraction into structured JSON using custom schemas, full-page screenshots, PDF export, infinite-scroll scraping, automated form filling, and converting webpages into clean Markdown for AI and LLM workflows. Reliability is built in through a rotating residential proxy network and automatic CAPTCHA and anti-bot handling, so requests succeed even against protected sites.
Pricing follows a transparent, credit-based model tied to browser execution time and bandwidth, making costs predictable as usage scales. Gaffa is aimed at AI engineers, data-driven teams, and developers who need dependable, large-scale web data without the overhead of running their own scraping infrastructure.
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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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iSIZE
iSIZE BitSave offers substantial savings on AWS, allowing users to cut costs by $176 for every 5,000 viewers per hour. Leading the way in deep learning technology for video distribution, iSIZE has developed an advanced deep perceptual ‘precoder’ that employs artificial intelligence to improve visual fidelity while simultaneously lowering video bitrate during encoding. The primary offering, BitSave, is available as a SaaS solution at bitsave.tech and also supports on-premise installations, boasting the ability to reduce encoding bitrates by up to 40% without compromising the perceived quality of the video. This cutting-edge technology can be easily integrated as an add-on to conventional video encoding workflows, including formats like AVC, HEVC, and AV1, and requires no changes to existing streaming setups or client devices. Consequently, it provides impressive reductions in bandwidth usage, energy expenditure, and overall costs for video-on-demand and live streaming services, benefiting both broadcasters and viewers alike. To gain further insights into their innovative contributions, potential users can view their presentation at the AOMedia Research Forum or dive into one of their early preprints for additional information. Such advancements highlight the potential of AI to transform video delivery into a more efficient and cost-effective process.
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Cloud Maker
Cloud Maker revolutionizes infrastructure design by offering a Diagram Driven Infrastructure approach, allowing users to effortlessly drag and drop their designs, automate deployments, and enjoy all the advantages of Infrastructure-as-Code without the associated intricacies.
With Cloud Maker, users can quickly visualize their infrastructure, identify security vulnerabilities through Cloud Maker Overwatch, and launch their cloud environments with just a single click. Behind the scenes, the platform generates Infrastructure-as-Code automatically, ensuring ease of use without sacrificing functionality.
This innovative tool empowers Solution Architects and DevOps professionals to design, secure, and deploy Cloud Infrastructure solutions more rapidly than ever, while also keeping documentation in sync with every deployment. Additionally, working with diagrams guarantees that your project documentation remains consistently updated.
Key features and advantages include:
- The ability to create and export stunning, uniform infrastructure diagrams
- Enhanced security integration with Overwatch, our proactive design-time security scanner
- Automatic generation of Infrastructure-as-Code for streamlined processes
- Direct deployment to the Cloud via Cloud Maker Pipelines
- Integration capabilities with leading CI/CD tools such as Azure DevOps, GitHub Actions, and JFrog, further enhancing workflow efficiency.
Ultimately, Cloud Maker simplifies the entire infrastructure management process, making it more accessible and efficient for teams of all sizes.
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