Natural‑Language Query Engine

Users type questions in plain English and receive ranked results drawn from indexed files. The engine leverages transformer embeddings to understand intent, cutting down the time spent crafting Boolean searches. GPT‑4All provides similar language understanding but lacks built‑in document indexing.

Business outcome: Teams locate the exact information they need in seconds, accelerating decision cycles.

AI‑Powered Data Extraction

Exa.ai can pull tables, key‑value pairs, and summaries from PDFs or Word files on demand. This reduces manual copy‑pasting and error rates in reporting pipelines.

Business outcome: Automated extraction saves hundreds of hours of manual data entry per year.

API & Slack Connectors

A robust REST API and ready‑made Slack bot let you embed search into existing workflows, from ticketing systems to BI dashboards.

Business outcome: Embedding AI search directly into daily tools boosts adoption and ROI.

Enterprise‑Grade Data Controls

Role‑based access, encryption at rest, and audit logs ensure compliance with GDPR and CCPA for sensitive corpora.

Business outcome: Companies meet regulatory requirements while still gaining AI insights.

Fine‑Tuned Retrieval Models

Businesses can upload domain‑specific corpora to improve relevance, tailoring the LLM’s knowledge to industry jargon.

Business outcome: Higher relevance scores translate to fewer false positives and faster approvals.

Query Insights Dashboard

A built‑in analytics view shows most asked questions, response times, and user adoption metrics, helping leadership track AI impact.

Business outcome: Executives gain visibility into knowledge gaps and can allocate resources proactively.

• High accuracy across demanding benchmarksExa leads across FRAMES, Tip-of-Tongue, and Seal0 — the most demanding retrieval benchmarks — with accuracy scores of 54.4%, 54.2%, and 36% respectively, outperforming Perplexity and Brave in each category.
• Low-latency search optionsExa Instant returns results in under 180ms, faster than any other search provider. Configurable latency ranges from 180ms to 1s, making it suitable for latency-sensitive agent loops.
• Token-efficient content with highlightsUp to 25T tokens are passed to models each week as concise excerpts powered by highlights. A specialized model extracts the most relevant excerpts from the web, reducing token usage by up to 90%.
• Structured outputs for enrichmentExa extracts enrichments as structured outputs across 70M+ companies. The API can return data like company name, CEO name, and founded year in a structured JSON format.

• Pricing varies by endpoint and usageSearch costs $7 per 1k requests, Deep Search $12 per 1k requests, Deep-Reasoning Search $15 per 1k requests, Contents $1 per 1k pages, Monitors $15 per 1k requests, and Answer $5 per 1k requests. Additional results above 10 cost $1 per 1k requests for Search, Deep Search, and Deep-Reasoning Search.
• Agent pricing is usage-basedAgent uses effort: auto by default, with compute and tool usage scaling to the task. Fixed effort modes range from $0.012 per request (Minimal) to $1.00 per request (X-high). Contact enrichment is billed separately: $0.02 per email and $0.07 per phone number.
• Enterprise features require contacting salesEnterprise plans offer up to 1,000 results per search, requests with more than 25 results, custom rate limits (QPS), tailored moderation, custom index, enterprise-grade support, and SLAs. Pricing is not listed and requires talking to the sales team.
• Free tier provides limited creditsNew users get $20 credits on sign-up, and the free tier includes $10 credits per month. This allows limited usage of web search tool calls, webpage text and highlights, and configurable latency options.

Customer Support Knowledge Base

Support agents can query past tickets and product manuals in natural language, reducing average handling time. ChatGPT Toolbox offers similar chatbot capabilities, but Exa.ai pulls directly from internal docs.

Regulatory Compliance Audits

Compliance officers ask the system for clauses related to GDPR across contracts, instantly surfacing risky language.

Product Roadmap Research

Product managers retrieve user feedback trends from scattered surveys and feature request logs without manual aggregation.

Scientific Literature Review

Researchers query a private corpus of papers and experiment logs, extracting tables and summaries for rapid hypothesis testing.

Sign up on Exa.ai and create your first workspace.

Connect your document storage (Google Drive, SharePoint, or S3).

Run the auto‑indexing wizard to ingest files.

Test a natural‑language query in the web console or Slack bot.