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BuildPrompt

buildprompt.ai
Summary

BuildPrompt is an AI-powered platform that allows users to query complex datasets using natural language. It aims to provide instant, accurate data queries and actionable insights, transforming raw data into clear answers in real-time. The platform offers features for dynamic data extraction, intelligent prompting, and automated workflows for businesses.

Features
9/15
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Must Have

3 of 5

AI File Chat

Semantic Search

Automated Sorting Rules

Cloud Storage Integration

Privacy Controls

Other

6 of 10

Usage Credits & Quotas

Multi-User Collaboration

Enterprise SSO & Compliance

Centralized Team Billing

Advanced AI Model

Data Encryption & Security

Feedback-Driven Refinement

Manual Approval Workflow

Demo Mode

Local File Access

Pricing
Freemium
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Free

$0.00 monthly
  • Access to open-library of available sources
  • Expert written industry insights
  • 10 free library prompts

Enterprise

Custom
  • Upload PDF & .DOC & .DOCX
  • Query your data in natural language with evidence directly on data you've uploaded
  • Manage team and access to all your data sources
  • Automate the querying of data within prompt stack
  • Extract qualitative data as quantitative semantic insights
  • Hosted LLM for maximum security and the ability to work in custom infra or on prem
  • Custom LLM deployment where models are fine tuned on your data to create your own LLM
  • Import data from external data sources
  • Custom workflow, connecting data to advanced AI architecture in secure environments
Rationale

BuildPrompt offers AI-powered data querying using natural language, which aligns with 'AI File Chat' and 'Semantic Search' for interacting with and finding data. The 'Automated Workflows' feature suggests 'Automated Sorting Rules'. The pricing page mentions 'Free' and 'Enterprise' plans, with '10 free library prompts' and 'Price on Request' for Enterprise, indicating 'Usage Credits & Quotas'. The Enterprise plan also mentions 'Manage team and access to all your data sources', which points to 'Multi-User Collaboration' and potentially 'Enterprise SSO & Compliance' and 'Centralized Team Billing'. The mention of 'Hosted LLM for maximum security and the ability to work in custom infra or on prem' and 'Custom LLM deployment where models are fine tuned on your data to create your own LLM' suggests 'Advanced AI Model' and 'Data Encryption & Security'. However, the core focus is on querying data rather than comprehensive file organization and management as described for Dynbox, and there's no explicit mention of cloud storage integration or privacy controls in the same context as Dynbox.