Turn raw signals
into BRDs.

Beacon ingests Slack threads, emails, and documents — then automatically produces structured, validated Business Requirements Documents with full source attribution in under 5 minutes.

Hover the cards to see the pipeline in action →

< 5 min
BRD generation time
94%
Classification accuracy
7
Auto-generated sections
3
Export formats
Pipeline Architecture

Six stages. Zero manual effort.

Hover each stage card to inspect what runs inside.

01

Ingestion

Multi-source

248 chunks

Slack · Email · PDF · DOCX

02

Noise Filter

LLM+Heuristic

183 signals

27% noise removed

03

Classification

Groq LLM

94% accurate

Req · Decision · Timeline

04

BRD Draft

AI Generated

7 sections

7-section document

05

Validation

Conflict detect

2 flags

Auto-flags contradictions

06

Export

MD · PDF · DOCX

Ready

With AI attribution

Complete
Running
Pending
The Problem

BRDs take weeks.
Most are already outdated.

Requirements scattered across Slack threads, emails, and meeting notes
Engineers and PMs disagree on what was actually decided
Conflicting specs discovered mid-sprint, causing expensive rework
BAs spend 40+ hours distilling conversations into a single document
No audit trail — "who said what" is impossible to answer months later
The Solution

Automated pipeline.
Validated output.

Ingestion — Connect Slack, upload emails or drag-drop documents directly
Signal Extraction — Two-stage LLM + heuristic pipeline classifies every chunk into Req, Decision, Timeline, or Feedback
Calibrated Review — High-confidence signals auto-accepted; borderline ones surfaced for fast human review
BRD Generation — Groq generates 7 standard sections with source-cited signals traceable per sentence
Conflict Detection — Semantic comparison flags contradictory requirements before engineering starts
Export — DOCX, PDF, or Markdown with attribution chain and AI disclaimer embedded
Features

Built for product teams.

NLP

Multi-Label Signal Extraction

Every chunk classified into Requirement, Decision, Timeline, Feedback, or Noise using a two-stage LLM + heuristic pipeline with per-signal confidence scores.

AI REVIEW

Calibrated Human-in-the-Loop

Auto-accept high-confidence signals, surface ambiguous ones for fast human review. Built-in suppression, reclassify, and undo within a 5-second toast.

GROQ LLM

Section-by-Section Generation

Each of the 7 BRD sections generated independently with its own source signals, enabling partial regeneration without losing human edits elsewhere.

VALIDATION

Automatic Conflict Detection

Semantic comparison across all signals detects contradictions — e.g. REQ-007 (PostgreSQL) vs REQ-012 (NoSQL) — before they reach the engineering team.

ATTRIBUTION

Full Audit Trail

Every sentence in the generated BRD links back to its source signal, document, speaker, and timestamp. Ask the system where any claim came from.

EXPORT

Production-Ready Export

One-click Markdown, PDF, or DOCX export with embedded AI disclaimer, confidence metadata, version history, and full attribution chain.

Technology

What powers Beacon

Groq LLM API — Ultra-fast inference for classification and generation (sub-1s per section)

Next.js 14 + TypeScript — App Router, server components, and full type safety

PostgreSQL + Supabase — Signal storage, session management, and attribution linking

FastAPI (Python) — Signal processing pipeline, noise filter, and LLM orchestration

Framer Motion — Smooth 60fps animations and interactive 3D visualizations

Zustand + Persist — Client-side state with localStorage hydration

Under the Hood

Pipeline details

Chunking
Semantic sentence-level with overlap to preserve cross-boundary context
Classification model
Groq Llama-3 with domain-specific few-shot examples per signal label
Deduplication
Cosine similarity on embeddings — near-duplicates merged automatically
Confidence thresholds
Auto-accept ≥ 0.85 · human review 0.55–0.85 · auto-reject < 0.55
Conflict detection
Semantic clustering + contradiction prompt across requirement signals
Version control
Every BRD section versioned — restore any prior generation instantly
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