An AI assistant that answers employee questions grounded in your actual documents, no digging, no waiting, no repeated HR emails.
The information already exists. We just make it accessible.
The Problem
Keyword search can't understand intent. Employees search, get irrelevant results, give up, and email HR instead.
Keyword search returns irrelevant documents. Employees can't find what they're looking for, even when the answer exists.
Employees don't know which folder or system to look in. Knowledge is siloed, scattered, and effectively invisible.
HR and ops spend hours on repetitive, answerable questions, every single day, instead of higher-value work.
One Platform, Every Team
The same retrieval architecture that answers HR questions today applies anywhere large volumes of internal documentation slow teams down.
Employees get instant, source-cited answers on leave, payroll, benefits, and onboarding, without opening a ticket.
Developers search API references, architecture docs, and SOPs in seconds instead of digging through wikis and old threads.
Teams query process documents and playbooks directly instead of hunting through shared drives and folders.
Every answer carries a source citation and a version-tracked configuration trail, so teams can verify what was said and why.
How It Works
The assistant doesn't guess. It retrieves the exact relevant content from your documents and generates an answer grounded in that content, every time, with the source attached.
Types a question in plain language, no special syntax required
Scans all connected PDFs, SOPs, handbooks, and internal documents
Relevant chunks are ranked and selected with semantic precision
Grounded response delivered with the source document cited
See It In Action
Here's what it looks like when an employee asks about retirement benefits, the assistant retrieves the exact policy and responds with full source transparency.
Employees with 10+ years are eligible for Tier II pension (60% of last drawn salary) plus spouse pension benefits.
Tech Stack
Real document. Real answer. Full transparency.
Built for Trust
Employees see exactly which document their answer came from. No black boxes. No blind trust required.
Every response links directly to the source document, employees know exactly where the answer came from.
Thumbs up / down on every answer creates a continuous improvement loop baked directly into the product.
The more it's used, the better it gets, feedback and usage patterns refine retrieval quality over time.
Under the Hood
This isn't a demo wrapped around a single API call. Every retrieval and rerank is traced, every configuration change is version-tracked and revertible, and every release is checked against a regression gate before it reaches employees.
Read the Engineering Deep-DiveThe knowledge base is fully live, upload a new policy or handbook and it's indexed and retrievable in seconds. Documents can come from local files, Confluence, SharePoint, or Google Drive, all through the same ingestion pipeline.
Built on a vector retrieval pipeline designed to scale horizontally, whether you have 4 documents or 4,000. Semantic chunking and embedding models ensure retrieval precision holds as corpus size grows.
Re-indexing writes to a shadow copy of the knowledge base, validates it against known question-to-document pairs, then swaps it in atomically. If retrieval quality dips, it rolls back instantly, no employee ever sees a degraded index.
Every chunk retrieved carries its document provenance through the full pipeline, so the final answer always surfaces the exact source. Employees get answers; auditors get traceability. Both, simultaneously.
Every retrieval, rerank, embedding, and LLM call is captured as a trace with latency and token counts, alongside live metrics on query latency and error rates by endpoint.
Every change to retrieval configuration runs against a checked-in set of ground-truth questions before merge. A drop in hit rate or ranking blocks the release, not a person reviewing a diff by eye.
Prompt wording, retriever tuning, chunking, and model choice all live in one git-tracked file. Every live configuration change is logged, and a bad change is a one-command revert.
Every endpoint requires an API key, cross-origin access is restricted to an explicit allowlist, and per-endpoint rate limits are enforced by default, not silently switched off.
Business Impact
Built for HR, ops, and any team drowning in repeated internal questions.
Roadmap
Starting with internal knowledge retrieval, and expanding into full workflow automation and agentic AI.
Give your employees instant access to company knowledge.
Give your HR team their time back. Learn how to build and maintain systems like this through our engineering training programs.
Currently in early access, built for teams that value transparency, speed, and scalable knowledge management.