ReplyMagik
AI RFP response automation
ReplyMagik is a B2B SaaS platform, built on AWS, that turns a company's previously approved RFP and security-questionnaire answers into a private knowledge base. From that knowledge base it drafts new answers in the company's own voice, through an admin panel, a superadmin panel for managing accounts, or an API.
- 2024
- B2B SaaS
- OpenAI + RAG
- Account-isolated knowledge
- API access
- AWS
The challenge
Sales and security teams rewrite the same RFP and security-questionnaire answers for nearly every new deal, with no single source of approved wording to draw from. We built ReplyMagik so each company account can upload its own approved answers once, turn them into a searchable knowledge base, and then generate new draft answers from that knowledge instead of starting from scratch each time.
Who uses it
- Account admins
- Upload and manage their company's knowledge base and categories, and generate drafted answers.
- Superadmins
- Manage customer accounts and oversee the platform from the superadmin panel.
- Integrators
- Use each account's API key to generate answers directly from the tools their team already works in.
What we built
Each customer account keeps its own isolated knowledge base, built with OpenAI embeddings, LangChain and a Chroma vector store, and uploads are validated before the AI learns from them. Admin and super admin panels manage knowledge and accounts, and every account gets an API key to generate answers from the tools teams already use. Built on AWS with exports to CSV, Excel and PDF.
Account-isolated knowledge base
Each customer account keeps its own private vector store, so no company's approved answers mix with another's.
Upload chunking and validation
Uploaded documents are chunked and validated before the AI learns from them, keeping the knowledge base clean.
AI-drafted answers
A ChatOpenAI-backed endpoint drafts new RFP and questionnaire answers from the account's own approved knowledge.
Knowledge base categories
Admins organize uploaded knowledge into categories for easier retrieval and management.
API access per account
Every account gets its own API key to generate answers from external tools and workflows.
Superadmin account management
A separate superadmin panel manages customer accounts across the platform.
Multi-format export
Drafted answers and knowledge can be exported to CSV, Excel and PDF.
How it works
- An account admin uploads previously approved RFP and questionnaire answers.
- Uploads are chunked, validated, and embedded into that account's private Chroma vector store with OpenAI embeddings.
- The admin organizes uploaded knowledge into categories.
- For a new deal, the admin (or an integrated tool via API key) requests an answer; a ChatOpenAI-backed endpoint drafts it from that account's knowledge.
- The admin reviews the drafted answer and exports it, or the RFP response, to CSV, Excel or PDF.
- Superadmins manage account access and settings from the separate superadmin panel.
Where the AI fits
ReplyMagik uses OpenAI embeddings to turn each account's approved RFP and questionnaire answers into a private Chroma vector store, isolated per customer account. When a new answer is needed, a ChatOpenAI-backed endpoint retrieves the most relevant approved content from that account's store and drafts a response in the company's own voice, built with LangChain. Uploads are chunked and validated before being added to the knowledge base, which keeps retrieval grounded in content the account has actually approved rather than open-ended generation.
- OpenAI embeddings + Chroma vector store, isolated per account
- ChatOpenAI drafts answers from retrieved account knowledge
- LangChain orchestrates the retrieval and drafting pipeline
- Upload chunking and validation before indexing
Every part of the product
Admin panel
PHP
Where an account manages its knowledge base, categories and generated answers.
Admin API
PHP
Backs the admin panel and account-level operations.
Superadmin panel
PHP
Platform-level management of customer accounts.
Superadmin API
PHP
Backs the superadmin panel.
Python RAG API
Python, LangChain
Handles embedding, vector storage and AI-drafted answer generation for each account.
How it’s built
ReplyMagik runs on AWS with a Python RAG API alongside PHP admin and superadmin panels and APIs. The RAG API uses OpenAI embeddings and a Chroma vector store to keep each customer account's knowledge completely isolated, which matters for a B2B product where competitors' answers must never surface in each other's drafts. A ChatOpenAI-backed endpoint, orchestrated with LangChain, drafts answers from only that account's retrieved content. Every account gets an API key so teams can call the drafting endpoint from their own tools, and exports to CSV, Excel and PDF cover how teams actually submit RFP responses.
- AWS
- Python
- LangChain
- OpenAI
- OpenAI embeddings
- Chroma
- ChatOpenAI
- PHP
- REST API
- CSV/Excel/PDF export
Related services: AI agent development LLM integration
What clients say about working with us
Verified Fiverr reviews from our clients, quoted word for word.
The team understands the requirement impressively well and they've built a truly complex and working product for me. They are always up to date with the AI trends and applied immediately in my product too. I'm very much satisfied with their work and highly recommended for any AI projects with Web app and mobile apps.
dnk3201Repeat buyerIndia · AI Websites & Software
The team understood the requirement and was able to deliver before time. They also took care of the deployment. Great job !
debabratatha136India · AI Websites & Software
Venkey was awesome to work with! Super fast, reliable, and always ready to fix or improve anything I needed. The Angry Motivator app turned out exactly how I wanted. Totally recommend working with him!
jamillesodreRepeat buyerBrazil · AI Websites & Software
Questions about ReplyMagik
What does ReplyMagik do?
ReplyMagik is a B2B SaaS platform Venzpire built on AWS that turns a company's previously approved RFP and security-questionnaire answers into a private knowledge base, then drafts new answers in that company's own voice through an admin panel, superadmin panel or API.
How does ReplyMagik keep customer data separate?
Each customer account on ReplyMagik has its own isolated Chroma vector store built from OpenAI embeddings. Uploads are chunked and validated before indexing, so one account's knowledge base never mixes with or surfaces in another account's drafted answers.
How does ReplyMagik use AI?
ReplyMagik uses OpenAI embeddings and a Chroma vector store, orchestrated with LangChain, to retrieve an account's own approved answers, then a ChatOpenAI-backed endpoint drafts new RFP or questionnaire answers from that retrieved content, keeping drafts grounded in what the account has already approved.
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