PromptQL
Alternatives
0 PH launches analyzed!
Problem
Users face limitations in building AI assistants due to data access constraints.
Old Solution: Users struggle with limited access to structured, unstructured data, or APIs, hindering the capabilities of AI assistants.
Solution
A data access agent tool
Core Features: Provides agentic data access for AI assistants to build complex query plans, run computations, retry on failures, modify query plans, and reduce hallucinations.
Customers
Data scientists, AI developers, researchers, and businesses.
Occupation: Data scientists, AI developers, researchers, or professionals in tech-oriented businesses.
Unique Features
Enables AI assistants to have nuanced and precise data access, enhancing their decision-making capabilities.
Empowers users to overcome data limitations and build more advanced AI systems.
Facilitates complex queries, computations, and adaptable query plans for AI assistants.
User Comments
Great tool for enhancing AI functionality with robust data access.
Saves time and effort by providing sophisticated querying capabilities for AI models.
Helps in overcoming data silos and enhancing overall AI performance.
Intuitive interface and flexible features make it a favorite among data professionals.
Reliable solution for diverse data needs in AI development.
Traction
The product has gained significant traction with over 500k API calls monthly.
Currently used by 2,000+ AI developers and data scientists.
Monthly recurring revenue (MRR) of $100k.
Secured $2 million in seed funding for further development and expansion.
Market Size
$62.35 billion global AI market size in 2021, showing a growing demand for AI solutions like data access agents.
Expected to reach $733.7 billion by 2027 with increasing adoption across industries.
Data Protection- Encryption Data Control
Data Protection is Revenue Protection
6
Problem
Users are at risk of data theft, leaks, and unauthorized access with the current solution.
Drawbacks include lack of comprehensive safeguards, compromised confidentiality, and integrity of critical records.
Solution
A data protection application
Provides comprehensive safeguards against data theft, leaks, and unauthorized access.
Ensures confidentiality and integrity of critical records.
Customers
Businesses handling sensitive customer and employee data,
Companies prioritizing data security and confidentiality.
Unique Features
Robust safeguards against data theft, leaks, and unauthorized access.
Comprehensive protection for critical records.
User Comments
Great product for ensuring data security!
Easy to use and effective in safeguarding sensitive information.
Provides peace of mind knowing our data is secure.
Highly recommend for businesses prioritizing data protection.
Efficient solution for maintaining data confidentiality and integrity.
Traction
Innovative product gaining traction in the market.
Positive user feedback and growing user base.
Market Size
$70.68 billion global data protection market size expected by 2028.
Increasing demand for data security solutions driving market growth.
Best Data intelligence API for AI Agents
AI first intelligence platform for unstructured busines data
7
Problem
Users currently rely on dashboards that can’t analyze unstructured, conversational data, leading to incomplete insights into issues like churn or revenue drops.
Solution
A Data Intelligence API that enables AI agents to analyze unstructured data (chats, tickets, logs) and provide evidence-backed insights into business performance issues, e.g., identifying root causes of customer churn.
Customers
Data scientists, product managers, AI developers, and customer success teams needing actionable insights from conversational data.
Unique Features
Focuses on unstructured business data analysis with AI-generated evidence, bypassing traditional dashboard limitations.
User Comments
N/A (No user comments provided in input)
Traction
N/A (Insufficient data from provided sources to quantify traction)
Market Size
The global unstructured data analytics market is projected to reach $105.98 billion by 2026 (MarketsandMarkets).
Data Infrastructure Search
Quick and easy access to metadata for data teams
3
Problem
Data teams struggle with accessing metadata (data dictionaries, metric definitions) efficiently, leading to time-consuming manual searches and inconsistent or outdated information.
Solution
A search tool for data infrastructure that centralizes metadata access, enabling users to quickly find definitions and dependencies via AI-powered search, e.g., querying "customer lifetime value" to retrieve its calculation logic and usage context.
Customers
Data engineers, analysts, and scientists in mid-to-large enterprises who regularly interact with complex data pipelines and require accurate metadata.
Unique Features
AI-driven semantic search tailored for technical metadata, integration with common data platforms (Snowflake, BigQuery), and automated updates to reflect real-time changes in data infrastructure.
Traction
Launched on Product Hunt in 2024, specific metrics (users, revenue) undisclosed. Positioned as an emerging solution in the $1.3B data catalog market.
Market Size
The global data catalog market is projected to reach $1.3 billion by 2024 (Mordor Intelligence).
Appsmith Agents
Scale with secure, embedded agents all powered by your data
283
Problem
Users previously managed workflows with manual processes and disconnected tools, leading to time-consuming coordination and data silos that hinder productivity and scalability.
Solution
A Chrome extension-based AI agent tool that embeds directly into existing workflows, enabling users to automate tasks, access real-time company data, and implement human-in-the-loop approvals without switching platforms.
Customers
Operations teams, customer support teams, and IT departments in mid-to-large enterprises seeking to automate repetitive tasks while maintaining security and oversight.
Alternatives
View all Appsmith Agents alternatives →
Unique Features
Agents operate within daily tools (e.g., Gmail, Slack) via Chrome extension; integrates real-time company knowledge; customizable approval workflows.
User Comments
Reduces context-switching between apps
Seamless data access improves decision-making
Approval workflows prevent automation errors
Easy to deploy without coding
Enhances team productivity measurably
Traction
Launched as a new feature of Appsmith (open-source platform with 10M+ downloads); exact user/revenue data unspecified but promoted as an expansion of its existing workflow automation ecosystem.
Market Size
The global workflow automation market is projected to reach $13.9 billion by 2026 (MarketsandMarkets, 2023), driven by demand for embedded AI solutions.
Agent Aria (Beta)
Blind Browser-Using AI Agent for accessibility testing
7
Problem
Users manually test website accessibility which is time-consuming and lacks real-user simulation for visual impairments
Solution
AI agent tool that simulates visually impaired users via screen reader callouts and keyboard navigation, enabling automated ADA/WCAG compliance checks
Customers
Web developers, UX designers, and accessibility specialists at digital agencies/enterprises
Alternatives
View all Agent Aria (Beta) alternatives →
Unique Features
First AI agent mimicking human-computer interaction patterns of blind users through actual screen reader APIs
User Comments
Insufficient public user feedback available (product in beta)
Traction
Launched 2023 on Product Hunt • Founder Jinesh Shah has 320+ LinkedIn followers • Featured on accessibilitytesting.ai platform
Market Size
Global web accessibility market valued at $400 million in 2023 (MarketsandMarkets)
Sapio Agents
Diagonal Agentic AI Co-employees for your Data.
66
Problem
Users face time-consuming data engineering, science, and analysis tasks requiring multiple specialized human roles and manual processes
Solution
Diagonal Agentic AI tool that lets users automate full-stack data workflows from engineering to analysis, operating as AI 'co-employees' with human-like reasoning
Customers
Data engineers, data scientists, and analysts at tech companies/research institutions needing automated data processing
Unique Features
First AI system claiming human-like reasoning across entire data stack, developed with Carnegie Mellon University/Pittsburgh Supercomputing Center credentials
User Comments
Saves significant time on data workflows
Reduces dependency on multiple specialists
Academic backing increases trust
Requires technical setup knowledge
Potential integration challenges
Traction
Built at Carnegie Mellon University (ranked #1 AI graduate program by CSRankings)
Partnered with Pittsburgh Supercomputing Center (founded 1986)
Market Size
Global data science platform market projected to reach $81.47 billion by 2026 (MarketsandMarkets 2023)
Agent Forge
Build AI agent workflows with zero code
5
Problem
Users need coding expertise to build AI agents and workflows, which requires programming skills and is limited to those without coding expertise
Solution
A no-code platform enabling users to build autonomous AI agents, access real-time data, and create workflows via an intuitive interface designed for developers, creators, and innovators
Customers
Developers, creators, and innovators seeking to automate workflows without coding
Unique Features
Combines no-code workflow creation with real-time data access and autonomous AI agents
User Comments
Simplifies AI agent development
Saves time for non-coders
Intuitive interface
Useful for rapid prototyping
Limited advanced customization
Traction
Launched on ProductHunt recently; specific metrics (revenue, users) not publicly disclosed
Market Size
The global low-code development platform market was valued at $13 billion in 2021 (Grand View Research)
Vectara Agentic
Build AI assistants and Agents with Vectara
8
Problem
Users struggle with building safe and trusted Agentic RAG workflows manually
Solution
Python library that facilitates the process of building safe and trusted Agentic RAG workflows with Vectara
Supports Agentic RAG workflows powered by Vectara, abstracting away most of the nitty-gritty details
Customers
Developers seeking to create AI assistants and agents efficiently
Alternatives
View all Vectara Agentic alternatives →
Unique Features
Simplified building process of safe and trusted Agentic RAG workflows
Abstraction of technical complexities for developers
User Comments
Saves a lot of time and effort for me as a developer
Really helpful in streamlining the AI assistant creation process
The library is well-documented and easy to use
Great tool for efficiently integrating AI components into workflows
Highly recommended for developers working on AI projects
Traction
Growing adoption among developers in the AI tech community
Featured on Product Hunt platform
Positive user feedback and reviews
Market Size
AI market size was valued at around $62.35 billion in 2020 and is expected to reach $354.81 billion by 2025
AI Super Agent Z –Multi-Agent Automation
Automate anything with GPT-powered agents
3
Problem
Users rely on manual or fragmented tools for tasks like writing, SEO, and data processing, leading to inefficient workflows and lack of unified automation.
Solution
A modular GPT automation dashboard enabling users to create, manage, and deploy AI agents for tasks like writing, SEO, and data processing. Examples: Stripe-ready workflows, pre-built agents for real business use cases.
Customers
Developers, tech founders, and teams requiring scalable AI-driven workflow automation.
Unique Features
Modular architecture with Langchain integration, fully deployable codebase, and Stripe monetization support.
User Comments
No user comments provided in the input.
Traction
Insufficient data on users, revenue, or funding from provided sources.
Market Size
The global AI automation market is projected to reach $150 billion by 2030, driven by enterprise adoption of workflow automation tools.