YBacked by Y Combinator

Accelerate the work
you can't get wrong

Grep turns the high-stakes knowledge work that slows down your business into custom AI agents that help you scale.

250+ built-in skills·99.7% accuracy·5X more output per $
grep.ai / research
Grep
New Task
Job history
Agents
Loops
Files
Analytics
API
Recent
KYB — Acme Holdings Ltd
2h ago · clear
Diligence — Parcha Labs
today · low risk
Vendor screen — 32 active
scheduled · 08:00
Entity Profile · Company
Parcha Labs, Inc.
Delaware C-Corp · Founded 2023 · San Francisco, CA
Due Diligence Clear
Overall Diligence Risk
Low — KYB clear
Sanctions (OFAC / EU / UK / UN)
None — 0 hits (ComplyAdvantage)
Adverse Media
Clean — 0 hits; 1 false positive adjudicated
PEP Exposure
None — both founders private-sector US technologists
CA Registration
Active (#5696772) · DE Corp #7379553
Sector
B2B SaaS · AI Compliance / RegTech
Executive Summary

Parcha Labs, Inc. is a Delaware-incorporated (March 2023), California-operating AI compliance automation startup founded by former Brex executives AJ Asver (CEO) and Miguel Ríos-Berríos (CTO). This fresh independent KYB screening runs 18 checks across 9 dimensions using live data from ComplyAdvantage, Middesk, and OpenCorporates.

All checks returned clean: zero OFAC / EU / UK / UN sanctions, zero PEP flags, California registration active, Delaware formation confirmed.

Trusted in regulated production

Trusted by teams that can't afford to get it wrong

Read the benchmark
Citizens Bank
Shopmonkey
Airwallex
Flutterwave
Crypto ISAC
Banco Popular
Acquired
Creative Planning
§ 01 · The solution

Turn your work into agents in minutes

You define the work. Grep turns it into a custom agent, using the best frontier and secure open-source models for each step — or code where AI isn't needed. Then deploy the agent to your team as a tool, an API endpoint, or an automation.

Define · brief it like an analyst
Run it your way
Verify this business: Acme Holdings Ltd, Delaware. Flag AML concerns.
ContextAcme Holdings LtdDelaware filing
AssembledEntity resolutionSanctions screeningAdverse-media scanGENCompany registrySanctions & watchlistsWeb search
Grep turns it into a workflow
Optimize · route every step
Workflow· 4 agents · DAGrouting
PlannerGLM 5.2
decompose objective
Entity ResolverDeepSeek V4
registry + UBO
AML ScreenerOpus 4.8
adverse media + sanctions
Synthesis AgentOpus 4.8
sourced verdict
2 frontier · 2 open$0.078 vs $0.21 all-frontier
and ships as an agent
Deploy · ship it everywhere
Slack
#risk-ops
DO
Dana Okafor9:39 AM
@Grep run KYB on Acme Holdings Ltd — need it before the 10am risk committee.
Grep
GrepApp9:42 AM
KYB Verification finished for Acme Holdings Ltd✓ Clear. 0 sanctions hits across 47 sources.
Acme Holdings Ltd — KYB report
PDF · 47 sources · decision trail attached
View sourced report →
API
POST/v2/runcURL
$ curl -X POST api.grep.ai/v2/run \
   -d '{ "agent": "kyb-verification" }'
# → 202 { "job_id": "run_3f7a9c" }
Shared tool
Run KYB Verification
Acme Holdings Ltd
Delaware, US
Risk & Ops · 24 people can run · no code
Scheduled
KYB VerificationOn
Every weekday · 08:00 ET
Next run in 14h · re-screens 32 active vendors

From your objective to an agent

Describe the work in plain language and attach your files — Grep reads them as context for the run.

Try it yourself
§ 02 · Why Grep

Built to scale.
Not to fail.

Only 1 in 6 agents reach production. The three failures that kill the rest: unreliable runs, unsafe data access, runaway cost.

01Reliability
99.7%accuracy

BUILT FOR HIGH-STAKES WORK

Built from three years of experience serving global financial institutions, our ControlFlow system guarantees that agents produce reliable, consistent and accurate outputs.

02Security
100%data control

YOUR DATA IS YOURS

We don't train our models on your data. We access your data via an isolated proxy so your agents never see your credentials or API keys. Every call is scoped, logged, and revocable.

03Economics
output per dollar

MAXIMIZE YOUR AI BUDGET

The harness routes each step to the right model — frontier and open source — so the same budget runs the work on every case, not a sample.

§ 03 · Customers · in production

How fast-moving
companies use Grep.

It's almost like a consultant or an extra person on the team — it confirms the suspicion for me.
DO
Dominick Oliveri
Risk Analyst · Shopmonkey
Shopmonkey
ShopmonkeyIn production
Shopmonkey
Underwriting research

Research from hours to minutes.

Grep helps me make informed decisions faster. With confidence.
CA
Crystal Anderson
Operations Manager · Shopmonkey
85%
Faster research
More sources
0
Missed fraud
Every claim sourced. Every fact verified.
Receipts, not hallucinations
The smartest person in the room did their research in 10 minutes.
Makes you smarter · grep.ai
Grep pulls together sources our teams would spend hours hunting manually — with the citations attached.
EB
Edward Betancourt
Astreya
Wisdom Ventures
Wisdom VenturesIn production
Wisdom Ventures
Deal prep

Partner meetings with sharper context.

Effectively filling part of the analyst function as the firm scales.
ZR
Zoë Rogers
Operating Partner · Wisdom Ventures
8h
Days replaced
0
Analyst hires
8
Partners
Initialized Capital
Initialized CapitalIn production
Initialized Capital
Platform operations

Ops research as a repeatable workflow.

Higher quality and more trustworthy, with sources to back it up, than any tool I've used.
VC
Vivian Chaves
Initialized Capital
3–12h
Saved / workflow
5+
Consolidated
4+
On the team
Not a chatbot. A research team that knows your domain.
PhD-grade experts · grep.ai
Acquired
AI cut our episode selection from ten days to about two. I fed our top ideas into Grep and got a story pitch for each — a sniff test before we committed.
BG
Ben Gilbert
Co-host · Acquired
§ 04 · Benchmarks

Why teams pick Grep for high-stakes work.

Scored against the tools your team already uses — ChatGPT, Claude, and Perplexity — on the same questions, with the 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
78.6%
Perplexity Deep Research
70.5%
Claude Opus 4.6
59.8%
Gemini Deep Research
59%
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.
Beyond the score
Grep
OPENAI CODEX
Claude CoWork
PERPLEXITY COMPUTER
Every claim sourced & verified
~
~
~
Routes across many models per step
Runs as an agent · API · automation
~
~
Custom agents for your workflows
~
Live, permissioned data integrations
~
~
Exportable decision trail / audit
Right-sized cost per run
Deploy to your whole team
~
~
~
§ 05 · Use cases

An agent for every kind of work

From research and diligence to sales, strategy, ops, and monitoring — point Grep at the knowledge work that moves your business.

Research

Deep research on anything

  • Decompose any question across hundreds of sources
  • Cross-check and cite every claim
See the report
Diligence · Finance

Investment diligence

  • Comp every filing and data room
  • Draft the memo — every claim sourced
See the comps
Compliance

KYB · AML · sanctions

  • Registries, UBO & beneficial owners
  • Screen vs sanctions / PEP lists
See the report
Monitoring

Market & news monitoring

  • Pinged the moment something moves
  • Sourced, every alert, on a schedule
Explore
Sales · GTM

Account & prospect research

  • Pre-call briefs and enrichment
  • Buying signals, refreshed automatically
Explore
More

And many others

  • Competitive intelligence
  • Vendor & security diligence
  • Talent & recruiting research
  • Document & filing review
Browse all solutions
§ 06 · The platform

One platform for every agent

The pieces most teams cobble together by hand — orchestration, routing, sandboxing, retries, billing, data access — managed for you, and enterprise-grade by default.

01
Agent brain
Orchestrates and routes tasks across agents with quality-aware model selection — the right model for each step, every time.
02
Model optimization
Fine-tuned secure open-source models picked for cost/performance per task — frontier reserved for the judgment calls.
03
Sandboxed execution
An isolated environment for every run. Untrusted code and tool calls execute with zero risk to your infrastructure.
04
Control plane
Jobs, retries, outputs, billing, observability — with a full auditable trace of every step, tool call and model used.
05
Data integrations
100+ pre-wired sources across finance, legal, business intelligence and news — plus a permissioned path to your own data.
06
Custom agents
Define agents against your own SOPs — version them, eval them, ship them to production over the API.
07
Sandbox isolation
Every run executes in a fresh, isolated sandbox. No shared state, no cross-tenant bleed.
08
Scoped keys
Per-workflow credentials, least-privilege by default. Rotate or revoke without downtime.
09
Decision-trail export
Every model choice, cost, and reason — exportable as a file you can hand to a regulator.
10
SOC 2TYPE II
Type II in progress, report on request. Annual penetration testing by third party.
11
VPC availability
Deploy in your own cloud. Data and execution never leave your perimeter.
12
Data handling
No training on your data. Configurable retention. Delete on request, verifiably.
§ 07 · Built-in integrations

Batteries included.

100+ permissioned data sources, 250+ research skills, and 25+ built-in expert agents — wired into one fluid system. Compose them yourself, or let an agent pick the right ones for the task. No glue code, no integrations to babysit.

Browse all sources
Connected
100+
Data sources
Registries, courts, sanctions, markets — permissioned and ready.
Composable
250+
Skills
The verified building blocks agents run — each one sourced.
Ready to run
25+
Built-in agents
Expert agents that orchestrate skills and sources for you.
USPTO
OpenCorporates
ComplyAdvantage
Zillow
OpenSanctions
Trustpilot
Amadeus
Semantic Scholar
USPTO
OpenCorporates
ComplyAdvantage
Zillow
OpenSanctions
Trustpilot
Amadeus
Semantic Scholar
PubMed
Crunchbase
Middesk
Finnhub
LEI / GLEIF
Yelp
FRED
GDELT
PubMed
Crunchbase
Middesk
Finnhub
LEI / GLEIF
Yelp
FRED
GDELT
arXiv
LinkedIn
MarineTraffic
CoinMarketCap
PIPL
ImportGenius
EPO
People Data Labs
arXiv
LinkedIn
MarineTraffic
CoinMarketCap
PIPL
ImportGenius
EPO
People Data Labs
08 · Two doors · no gatekeeping

Run an agent today.
Or deploy an agent fleet in days.

Self-serveRunning today

Try It Yourself

Sign up and run an agent the same day. No sales contact. Start on credits. The self-serve flow uses the same harness, sandboxes, and audit trails as enterprise — it is not a stripped-down demo.

Objective in, running agent out — minutes, not a procurement cycle
Pay-as-you-go credits; right-sized model cost from run one
Keep every agent you tune; export the decision trail anytime
Try It Yourself
Enterprise$50K+/mo

Speak to Sales

For teams running agents at volume. A working session against your real workflows and constraints — not a pitch deck. We size the model mix, the cost ceiling, and the audit requirements with you.

VPC / dedicated deployment; data stays in your perimeter
Volume pricing; compliance review with your risk team
Hands-on onboarding of your first production workflows
Speak to Sales
10 · Common 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 — but 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, SOC 2 (Type II in progress), and VPC deployment are standard.
How does pricing work?
Public rates are unpublished by design — pricing tracks the right-sized model mix for your workflows. The calculator above gives a live estimate from your current spend; request your real analysis and we will return exact numbers against your actual model mix and volume.
Agents that do the work

Run your agents on your terms.