Findr

Findr is the fastest AI second brain for 2025—capture any link, doc, or meeting, then ask in plain English to retrieve precise answers in under 100 ms. SOC-2-grade security keeps your data encrypted and never stored, while Pro tier unlocks unlimited uploads, transcripts, and access to Claude 3.5, GPT-4.1, Gemini 2.5, and more. Join 10 000+ founders, researchers, and teams who cut search time by 25-40 % and reclaim focus for deep work.

Neuro-Symbolic Retrieval Architecture

Findr marries dense-vector embeddings (powered by models such as OpenAI’s text-embedding-3-large) with a symbolic knowledge graph. When a document, link, or meeting transcript enters the system, the pipeline:

1. Splits content into semantically coherent chunks.
2. Generates 1 536-dimensional vectors for each chunk.
3. Writes labelled edges (author, topic, project) to a time-aware graph.
4. Indexes vectors in a high-performance ANN (approximate-nearest-neighbour) service while mirroring edges to a PostgreSQL-compatible graph layer.

The result: sub-100 ms hybrid queries that understand both meaning and metadata.

Zero-Data-At-Rest Security Model

Unlike Notion or Evernote, Findr never persists raw files. Instead, it uses OAuth2-scoped APIs to stream data on demand, then encrypts transient caches with AES-256 and rotates keys every 24 h. SOC 2 Type II audits confirm zero-knowledge architecture, reassuring compliance teams in finance and healthcare.

Multi-Model Reasoning Layer

Pro and Einstein tiers dynamically select from Claude 3.5 Sonnet, GPT-4.1, Gemini 2.5 Flash, DeepSeek R1, and smaller on-device models. A lightweight router scores each query for latency, cost, and factual accuracy, then dispatches to the optimal engine—delivering 41 % cheaper inference th