Find domain experts without breaking a sweat
A unified platform for finding experts, whether they be witnesses for the courtroom or domain specialists
CCPA-compliant
GDPR-friendly
Runs in the cloud
https://lorecal.com/chat
import { NextRequest } from "next/server"; import { streamText } from "ai"; import { createOpenAI } from "@ai-sdk/openai"; const openai = createOpenAI({ apiKey: process.env.OPENAI_API_KEY! }); export async function POST(req: NextRequest) { const { messages } = await req.json(); const result = await streamText({ model: openai("gpt-4o-mini"), messages, // Retrieval is as simple as adding context system: "You are Caracal—succinct, helpful, and safe.", }); return result.toAIStreamResponse(); }
Why Lorecal
Everything you need to find domain experts
Unified Platform
Chat, tools, and retrieval behind one consistent interface.
Enterprise guardrails
Built-in content filters, rate limits, and audit trails.
Model choice
Pick the right foundtaiona; model per call—OpenAI, Anthropic, and many others.
Obs & evals
Explainable decisions, relevant content, easily explainable
Orchestration
Functions, tool calling, and background jobs without glue.
Privacy by design
Zero data retention option and regional routing.
Simple pricing
Start free. Pay as you go.
Hobby
$0
For amateurs & students
- 3 searches/mo
- Shared models
- Community support
Most popular
Team
$19
Best for firms & organizations
- 50 searches/mo
- Priority routing
- Project evals
Enterprise
Talk to us
Security & scale for orgs
- Unlimited searches
- VPC + regional data
- Custom SLAs
Start discovering in minutes
Get instant access to the dashboard, discovery tools, and hand-picked experts.
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Talk to sales
peter.stamm@lorecal.com
SOC 2 Type II in progress
FAQ
Answers to common questions
Which models do you support?
OpenAI, Anthropic, and top open-source models. Choose per request or set project defaults.
How do you handle data privacy?
We offer zero data retention, encryption in transit and at rest, and regional routing options.
How do you find experts?
We employ a wide array of techniques like Retrieval-Augmented Generation (RAG) to find similar professionals and Context-Augmented Generation (CAG) to add more detail to prompts.
Where is the data sourced from?
We aggregate data from a variety of sources including Google Scholar, LinkedIn, and even proprietary databases