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.
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 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
Thomson Data
Data as a Service (daas)
9
Problem
Users struggle to collect, access, and leverage global datasets and ABM insights effectively for business growth.
Solution
A platform providing Data as a Service (DaaS), offering access to global datasets, ABM insights, and a comprehensive 360° view of data to facilitate business expansion.
Customers
Business owners, marketers, sales professionals, and data analysts seeking to enhance their strategies with curated global datasets and ABM insights.
Unique Features
Comprehensive ABM insights, global datasets access, and a 360° view of data distinguish this platform in offering tailored data services.
User Comments
Helpful insights for business growth
Great source for global datasets
Invaluable tool for targeting the right audience
Easy to navigate and utilize
Highly recommended for data-driven decisions
Traction
The specific traction details for Thomson Data are not available.
Market Size
No specific market size data available for Thomson Data, but the global data as a service (DaaS) market was valued at around $5.24 billion in 2020 and is projected to reach $16.61 billion by 2026.
Rag About It
Dive deep into AI Retrieval Augmented Generation (RAG)
44
Problem
Users seeking to understand and apply AI Retrieval Augmented Generation (RAG) face a lack of centralized resources and difficulty in keeping up with the latest developments and technical knowledge in the field, leading to fragmented learning experiences and potential gaps in understanding.
Solution
Rag About It is a platform focused on providing comprehensive insights into AI Retrieval Augmented Generation (RAG), allowing users to explore recent advancements, technical knowledge, and applications of RAG systems through a dedicated resource.
Customers
Researchers, AI enthusiasts, practitioners in the field of artificial intelligence, and technology students.
Unique Features
Dedicated focus on RAG technology, centralization of technical knowledge and advancements, and support for a community interested in the specific niche of AI Retrieval Augmented Generation.
User Comments
Not available due to the nature of the question format.
Traction
Not available due to the nature of the question format.
Market Size
The global AI market size is projected to grow from $58.3 billion in 2021 to more than $309.6 billion by 2026.
Multi-Agent Builder
Secure agents that collaborate and take action across tools
305
Problem
Enterprises struggle to deploy AI agents that securely handle multi-step workflows across tools and data while respecting permissions. Handling multi-step workflows across tools and data and ensuring data permissions are key drawbacks.
Solution
A platform enabling enterprises to deploy secure, collaborative AI Agents that autonomously execute workflows. Agents call other agents and take action while respecting data permissions, e.g., automating compliance checks or cross-departmental tasks.
Customers
Enterprises in regulated industries like finance, healthcare, CTOs, IT managers, and data security teams requiring scalable, secure AI workflows.
Alternatives
View all Multi-Agent Builder alternatives →
Unique Features
Agents operate with granular data permissions and collaborate across tools, enabling end-to-end automation without compromising security.
User Comments
Enhances workflow efficiency
Critical for compliance-heavy sectors
Reduces manual intervention
Steep learning curve for non-technical users
Seamless integration with existing systems
Traction
Launched on ProductHunt in 2024, 500+ upvotes
Used by 50+ enterprises
Partnerships with cloud providers like AWS and Azure
Market Size
The global enterprise AI market is projected to reach $184.7 billion by 2028 (Grand View Research, 2023).
Ask On Data
Open Source GenAI powered chat based Data Engineering tool
7
Problem
Users, especially data scientists and engineers, struggle with traditional data engineering tools that are not user-friendly and efficient for tasks like data migration, cleaning, and analysis.
Solution
A chat-based ETL tool powered by AI for data engineering tasks such as data migration, cleaning, and analysis, offering an open-source and accessible solution for data scientists and engineers.
Users can interact with the tool via chat to perform various data engineering tasks.
Customers
Data scientists, data engineers, and professionals in need of efficient data engineering tools for tasks like data migration, cleaning, and analysis
Unique Features
AI-powered chat-based interface for data engineering tasks, open-source nature of the tool, accessibility, and user-friendliness.
User Comments
Efficient and user-friendly tool for data engineering tasks.
Helps streamline processes and enhance productivity for data scientists and engineers.
Accessible and easy to use via chat interface.
Great alternative to traditional data engineering tools.
Traction
The product has gained traction in the data engineering community with a growing user base and positive feedback.
It has received attention for its unique approach and ease of use.
Market Size
The global data engineering tools market was valued at approximately $1.02 billion in 2021 and is expected to reach $3.31 billion by 2028.