Grep AI is a managed agent platform designed to automate repetitive, research-intensive workflows in business operations, compliance, research, and risk functions. It allows users to define what they need, such as vendor due diligence, regulatory research, or customer onboarding, and then builds custom agents that use deep research from dozens of specialized data sources, maintain audit trails, and continually improve in accuracy and efficiency.
Key Features
Custom AI Agents
Grep lets users create no-code agents that reflect internal procedures and compliance requirements. Agents are built to generate structured outputs, such as spreadsheets, slide decks, and formatted documents, while integrating internal rules and checks. Tasks that involve vendor risk, contract review, or KYC/KYB workflows are common use cases. Data integrations and source citations are part of each run for accountability.
Swarm of Agents
For more complex workflows, Grep offers Agent Swarms, teams of specialized agents coordinated by a lead agent. The coordinator decomposes tasks into subtasks, assigns them to agents with specific skills, aggregates their outputs, and applies cross-agent validation and exception handling. This is useful for batch tasks like merchant categorization, account profiling, or vendor evaluation.
Robust Data & Model Infrastructure
Agents pull from over 100 data sources, covering corporate registries, sanctions lists, court records, financial filings, patents, and news archives. Grep supports both frontier large-language models and secure open-source models, running each subtask with the right model depending on cost versus accuracy trade-offs.
Governance, Security & Transparency
The platform's architecture includes isolated sandboxes per run, audit logs, role-based access controls, scoped credential access, and compliance with standards like SOC 2 Type II. Users can export the full decision trail and set cost ceilings and accuracy floors for runs.
Pricing
Grep AI offers several pricing tiers and flexible credit-based plans:
Free Trial: One-time 100 credits, approximately five medium-effort tasks.
Pay As You Go: Top up credits, $20 for 200 credits, $50 for 500, $100 for 1,000 or more. Balance is valid for 365 days. Premium data requires a minimum $50 balance.
Pro: $200 per month or $2,000 per year, $167 per month when billed annually, with 1,500 monthly credits. Includes the best effort-level AI, API access, premium data sources, custom AI agents, and priority support.
Ultra: $500 per month or $5,000 per year, $417 per month annually billed, with 4,500 monthly credits. Adds dedicated support and early access to new features.
Team & Enterprise Plans: For teams needing shared agents, pooled credit usage, SSO, enterprise-grade access controls, VPC deployment, or high-volume usage. Starting costs are not publicly fixed; customers are encouraged to engage with sales.
Who is it for?
Compliance, Risk & Legal Functions
Businesses with strict regulatory obligations, such as banks, fintechs, and investment firms, can use Grep to scale work such as KYC/KYB, sanctions screening, document verification, and vendor risk assessment. The tool is built to generate evidence-backed reports that satisfy audit and regulatory requirements.
Operations & Back-Office Teams
Repetitive tasks like account research, merchant categorization, onboarding reviews, and background checks can be automated using Grep. Teams able to define workflows and quality criteria stand to reclaim many hours of manual work.
Intelligence, Sales & Market Research
Professionals conducting competitive intelligence, monitoring markets or news, or preparing investment memos or sales prospect research will find Grep useful. Its integrations with news archives, financial filings, and legal and patent databases make it well suited for data-rich environments that require accuracy and source citation.
Organizations Scaling Repetitive Knowledge Work
Companies growing in size or operating in regulated sectors that need repeatable, transparent, and cost-conscious processing of operational tasks will find value. The ability to scale via agent swarms and shared agents is especially relevant for those reaching thresholds of volume or complexity.
Final thoughts
Grep AI presents a strong option for organizations looking to automate knowledge work that demands both rigor and transparency. Its ability to build agents that use domain-specialized data, operate under defined governance, and evolve over repeated runs addresses many of the common limitations of generic AI tools. The pricing structure, with credit-based plans, subscription tiers, and enterprise offerings, allows flexibility, though decision-makers should carefully map expected task load and data needs to credit usage to ensure cost-effectiveness. For businesses that regularly perform research, compliance, or operations workflows, Grep AI is worth evaluating for serious deployment.
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