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Backed by Y Combinator

Accelerate your businesswith swarms of AI agents.

Create a team of self-improving agents in minutes to automate the repetitive work slowing your business down. They’re experts on day one, connect to your existing tools, and get smarter and cheaper with every run.

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Agent SwarmsNew feature

Put a swarm of agents to work on your backlog.

Describe the job. Your lead agent assembles a swarm of specialists to tackle it together. The swarm divides the work, shares context, and checks the results—clearing your backlog while your team handles the exceptions.

GREP / BUSINESS ONBOARDINGSwarm illustration

R

Explore agent swarms

Scale smarter. Spend less.

Consume fewer tokens as you scale

GrepAgents
onboarding-policy.pdf
Operating procedure01

Business onboarding

Complete these checks before approving a new company.

  1. 01
    Verify the business

    Confirm registration and identify beneficial owners.

  2. 02
    Review the risks

    Screen sanctions lists and adverse media. Flag matches.

  3. 03
    Document the decision

    Write a brief with sources and refer flagged cases for review.

Approved for team use
Create a reusable agentEXAMPLE
Create an agent that classifies merchants using Visa MCC rules.

Your merchant classification agent is ready.

Merchant MCC classifier

Classifies merchants, cites the rules, and flags ambiguous cases.

Create this agent

Describe the job and share your process. Grep uses deep research to build your agent’s skills and instructions.

Illustrative workflow and costs. Actual cost depends on the task and model mix.

Try it yourself
CUSTOMER STORY / IG

Online trading platform IG
automated 80% of onboarding.

IG customer case story

80%

of onboarding automated

Up from 50%

3×

automated screening alert review

From 10% to 30%

<10 min

flagged customer activation

Previously 2–3 days

>99%

automated review accuracy

Reported by IG

IG’s overall onboarding automation. Grep handles screening reviews within this process.Read the IG case study

One year in production. Zero production issues reported.Reported by IG

Manage agents
across your enterprise.

Deploy your agent workforce across teams with centralized permissions, budgets and oversight. Share and version agents, inspect every run and file, and keep control of your data.

One system. Every agent.

Agent OS

From the first instruction to every production run.

Agent orchestration

Route work to the right agents and models across your organization.

Model cost optimization

Use smaller models for repeated work and frontier models for judgment.

Isolated execution

Run each job in a fresh sandbox, separate from other agent runs.

Run history & file access

Inspect jobs, retries and outputs. Access every file the agent used.

Permissioned data access

Connect 100+ built-in sources and your own data with scoped access.

Budgets & spend visibility

Set limits per run and track spending across your agent workforce.

Role-based access control

Control who can view, edit and run agents, and access their files and reports.

Scoped credentials

Grant least-privilege access. Rotate or revoke credentials anytime.

Agent audit logs

Review every step, tool call and model choice. Export the audit trail.

SOC 2TYPE II

Type II compliant. Annual third-party penetration tests.

No training on your data

Your data is not used for training. Control retention and deletion.

Shared agents & version control

Share and edit agents across teams, with full version history.

05 / CONNECTED TO YOUR WORK

Connect your APIs, MCPs, and webapps.

Connect to over 1,000 applications and tools, add your own APIs and MCP servers, or work in your webapps through authenticated browser sessions.

Connect your tools
YOUR TOOLS. CONNECTED TO YOUR AGENTS.

Or use 100+ built-in integrations.

Ready-to-use data sources for your agents, from company registries and sanctions lists to courts and market data. No accounts to connect or logins required.

Your data sources. Already connected.

  • USPTO
  • OpenCorporates
  • ComplyAdvantage
  • Zillow
  • OpenSanctions
  • Trustpilot
  • Amadeus
  • Semantic Scholar
  • PubMed
  • Crunchbase
  • Middesk
  • Finnhub
  • LEI / GLEIF
  • Yelp
  • FRED
  • GDELT
  • arXiv
  • LinkedIn
  • MarineTraffic
  • CoinMarketCap
  • PIPL
  • ImportGenius
  • EPO
  • People Data Labs

Why customers
pick Grep.

We scored Grep against the tools your team already uses: ChatGPT, Claude, and Perplexity. Same questions, same independent judges. Grep comes out ahead.

78.6%
DRACO
Perplexity's 100-task benchmark, same Gemini-2.5-Pro judge. +8.1pp over Perplexity, leads all 4 rubric axes.
84.5%
DeepSearchQA
Google's 896 multi-step questions, independently reproduced by Kaggle. Ahead of Perplexity (81.9%).
56.27/100
DeepResearch Bench
100 PhD-level queries on the public RACE leaderboard. Ahead of every listed system.
DRACO · normalized scoreFeb 2026 · 100 tasks
GREP AI
78.6%
Perplexity Deep Research
70.5%
Claude Opus 4.6
59.8%
Gemini Deep Research
59.0%
ChatGPT · OpenAI DR (o3)
52.1%
Same Gemini-2.5-Pro judge and rubric as Perplexity's published paper. Grep leads Factual Accuracy +7.5pp and Citation +14.5pp.

Frequently asked questions

Is this a model gateway or a router?
No. A gateway forwards your tokens to whichever model you name; a router load-balances. Grep runs the entire job. It picks the model for each step against your cost ceiling and accuracy floor, executes in isolated sandboxes, and writes the audit trail. The model choice is an output, not your input.
Do I have to talk to sales to try it?
No. Self-serve signup runs an agent the same day, no sales contact. Self-serve is a headline feature, not a consolation path. Enterprise teams spending $50K+/month get a working session. The product is never gated or waitlisted.
Which models do you use?
Claude, GPT, DeepSeek, and secure open-source models, chosen per step. Cheap, fast models handle ingestion and extraction; frontier models are reserved for the steps where accuracy is non-negotiable. You set the constraints; the harness routes.
How is “managed” different from a provider’s managed offering?
A provider optimizes for its own models. It wins when you spend more on them. Grep is not a model. We optimize across all of them for your constraints, and we win when you win. Managed is not Claude-managed.
What do you give compliance and risk teams?
A decision trail on every run: the model chosen, the cost, and the reason for each step, exportable as a file you can hand to a regulator. Sandbox isolation, scoped keys, and SOC 2 Type II compliance are standard.
How does pricing work?
See pricing for current plans, or contact our team to discuss enterprise requirements.

SWARMS BY GREP AI

Clear your backlog.
Unlock your next stage of growth.

ACTIVATE YOUR SWARM TALK TO OUR TEAM

Put agents to work on the tasks holding your business back.