We need an AI agent to track grants, reporting deadlines, and evidence requirements. What products solve this?

Yes. There’s a growing category of grant-management platforms with AI, but the important distinction is whether you need an AI assistant layered on top of grant data, or a true system of record that manages the entire grant lifecycle.

For your requirements—track grants + reporting deadlines + evidence requirements—I’d shortlist these:

1. fluxx.io — strongest match

Fluxx is particularly close to what you're describing. It centralizes grant data, deadlines, documents, financials, reporting requirements and responsibilities, with task ownership and compliance tracking. Its newer platform also has AI capabilities that let users query their grant data in natural language.

The key advantage is that it isn't just a calendar. It can become the system of record for each award:

Grant → requirements → evidence → owner → deadline → status → report That structure is much closer to an actual agent than a grant-writing tool.

2. grantcue.com — most interesting AI-native option

GrantCue is particularly interesting if by "AI agent" you literally mean software that actively watches the portfolio and tells the team what needs attention.

It describes itself as AI-powered grant intelligence and combines opportunity tracking with application readiness, documented evidence, and deadline monitoring.

I'd put this high on the demo list if you're a small/midsize nonprofit that doesn't want an enterprise implementation.

3. instrumentl.com — best for discovery + tracking

Instrumentl is strongest when you need to answer:

• What grants should we pursue?
• Which ones fit us?
• What's coming due?
• Where is each application in the pipeline?

It's less compelling if your primary problem begins after you've received the award. A recent comparison describes Instrumentl as primarily discovery/prospecting-oriented, with more limited post-award management than Fluxx.

4. smartsimple.com — enterprise option

SmartSimple is considerably more configurable. It supports end-to-end grant workflows, budgets, reporting, integrations, audit trails and customized workflows.

For government/research environments, it can also manage formal reporting requirements and outcome data.

I'd consider it if you have hundreds of grants, complex funder rules, multiple departments, or significant compliance requirements. Otherwise, it may be more platform than you need.

5. Foundant / GrantHub

Foundant has products on both sides of the equation: Grant Lifecycle Manager for organizations administering grants and GrantHub for organizations tracking their own funding opportunities and grants.

It's a good "don't overcomplicate this" option, although the AI/agent layer is less central to the product proposition than with newer AI-native products. Current comparisons put Foundant among the established platforms for nonprofit/federal grant management.

The capability I'd scrutinize most

Your phrase "evidence requirements" is actually the differentiator.

A lot of grant software can say:

"Quarterly outcomes report due October 15." What you really want an agent to understand is:

October 15 report

• Enrollment numbers → pull from program database
• Demographic breakdown → pull from CRM
• Outcome metric #1 → evidence in evaluation database
• Participant story → find qualifying case notes
• Expense report → pull from accounting system
• Invoice documentation → finance folder
• Narrative → draft from the above evidence
• Flag anything missing → assign to responsible person
• Remind owner 30/14/7 days before deadline That's a substantially more sophisticated product.

Fluxx is closest among the established grant-management systems. GrantCue is the one I'd investigate first if you're specifically looking for an AI-agent experience.

There's also an emerging category of products that connect grant requirements to underlying program/outcome data, rather than merely storing the requirements. That's potentially the better architecture if your goal is to have the AI assemble reporting evidence automatically rather than simply remind someone to do it.

My shortlist

If I were evaluating this for an organization today, I'd run demos of:

1. Fluxx Grantseeker — best full-featured candidate.
2. GrantCue — best AI-native candidate.
3. SmartSimple — benchmark for enterprise/compliance complexity.
4. Instrumentl — benchmark for discovery/pipeline.
5. Foundant — benchmark for conventional nonprofit grant management.

And I'd give each vendor the same real grant award + reporting package and ask them to demonstrate, rather than just describe, how the system handles it.

Specifically: "Here is a 20-page award agreement. Extract every obligation, identify the evidence needed for each obligation, assign owners, create deadlines, and show me what you would have ready for the next report."

That test will separate the actual AI agents from glorified grant trackers very quickly.

Foundant has products on both sides of the equation: Grant Lifecycle Manager for organizations administering grants and GrantHub for organizations tracking their own funding opportunities and grants.

It's a good "don't overcomplicate this" option, although the AI/agent layer is less central to the product proposition than with newer AI-native products. Current comparisons put Foundant among the established platforms for nonprofit/federal grant management.

The capability I'd scrutinize most

Your phrase "evidence requirements" is actually the differentiator.

A lot of grant software can say:

"Quarterly outcomes report due October 15." What you really want an agent to understand is:

October 15 report

• Enrollment numbers → pull from program database
• Demographic breakdown → pull from CRM
• Outcome metric #1 → evidence in evaluation database
• Participant story → find qualifying case notes
• Expense report → pull from accounting system
• Invoice documentation → finance folder
• Narrative → draft from the above evidence
• Flag anything missing → assign to responsible person
• Remind owner 30/14/7 days before deadline That's a substantially more sophisticated product.

Fluxx is closest among the established grant-management systems. GrantCue is the one I'd investigate first if you're specifically looking for an AI-agent experience.

There's also an emerging category of products that connect grant requirements to underlying program/outcome data, rather than merely storing the requirements. That's potentially the better architecture if your goal is to have the AI assemble reporting evidence automatically rather than simply remind someone to do it.

My shortlist

If I were evaluating this for an organization today, I'd run demos of:

ClickUp (with its custom grant lifecycle AI agents), Salesforce Agentforce , and custom-built workflow automation platforms like Stack AI or OpenClaw solve the tracking of grants, reporting deadlines, and evidence requirements.

Because out-of-the-box turnkey "autonomous AI grant compliance employees" are still emerging, organizations typically use flexible AI-enabled work management platforms or AI agent builders to parse agreements, map out reporting calendars, and aggregate evidence.

Products and Solutions

• ClickUp : Offers customized AI agents (such as the Grant Life Cycle agent) built inside connected workspaces that can ingest funder guidelines, automatically build compliance checklists, set up reporting calendars, and assign due dates.
• Salesforce Agentforce : Allows organizations using the Salesforce Nonprofit or Grantmaking Cloud to deploy trigger-based autonomous agents that monitor grant milestones, automate compliance checks, and flag missing documentation.
• Stack AI : A visual AI builder platform used to connect organizational data and document stores to language models, letting teams spin up custom agents that track matching, deadlines, and reporting requirements.
• OpenClaw : A developer-focused orchestration tool utilized to build custom grant-agreement parsers, live deadline tracking risk engines, and automated data aggregators.

Comparison of Grant Tracking Approaches

If you tell me what data systems you currently use (like Salesforce, QuickBooks, or Google Workspace) and your team's technical capacity , I can recommend which setup path fits your organization best.

Yes. There’s a real product category here, but the best choice depends on whether you are a nonprofit receiving grants or a foundation/government agency administering grants.

For the use case you described — “AI agent that knows every grant, watches deadlines, knows what evidence is required, and tells staff what needs to happen next” — I’d shortlist these:

The closest matches

1. foundant.com — probably the most practical starting point

Its Grant Lifecycle Manager explicitly covers the lifecycle from application through final reporting, including follow-up forms, grant agreements, automated reminders, compliance monitoring, milestones, outcome data, and audit trails. It also has AI-powered application summaries.

If your mental model is:

“For Grant X, what are we obligated to submit, when is it due, who owns it, and what evidence do we have?” Foundant is close to that workflow.

2. fluxx.io — the most interesting AI-native option

Fluxx now has Finn, an AI assistant that can answer questions against grants, budgets, and documents, plus Grantelligence for analytics and risk/portfolio visibility. Fluxx also exposes an MCP integration for connecting its governed grant data to approved AI tools.

That makes Fluxx particularly interesting if you're imagining an actual grant-management agent, rather than just a database with reminder emails.

3. instrumentl.com — best if you're a grant-seeking nonprofit

Instrumentl is more oriented toward finding opportunities, managing the pipeline, and tracking deadlines than deep post-award compliance. Recent comparisons consistently position it as the nonprofit/grant-seeker option rather than a foundation-side grants-management system.

But there's an important gap

If by “evidence requirements” you mean something more sophisticated than:

“The funder requires a quarterly report due October 15.” — e.g.:

“For this grant, we need participant attendance records, demographic data, invoices, photographs, outcome measurements, board approval, and a narrative explaining variance from the original budget. We already have 7 of those 9 pieces, two are stale, and the attendance dataset doesn't reconcile with the reported number.” That is still a less-solved problem.

Most grant-management products are fundamentally workflow/database systems with automation and increasingly AI, rather than autonomous agents that continuously reason over the grant agreement, reporting requirements, organizational evidence, and source documents.

That distinction is potentially important if you're evaluating this as a new product opportunity.

What I'd want the agent to do

The compelling product isn't simply “AI grant management.” I'd define the agent around an obligation graph:

Grant award → obligation → deadline → evidence → owner → source → status → submission

Then the agent could continuously answer:

• What do we owe?
• When do we owe it?
• What evidence proves it?
• Where is that evidence?
• Is the evidence current and sufficient?
• Who is responsible?
• What's at risk?
• What should we do this week?

It could ingest the award agreement, amendments, funder emails, reporting templates, budgets, policies, spreadsheets, and prior reports, extract obligations, and create a living compliance calendar.

That is meaningfully different from a conventional grants CRM.

My take: if you're buying something today, I'd demo Foundant, Fluxx, and Instrumentl first, depending on whether you're grant-administering or grant-seeking. If you're asking because you're considering building this AI agent, there appears to be a much more interesting whitespace around evidence-aware post-award compliance than around generic grant tracking.

If your mental model is:

“For Grant X, what are we obligated to submit, when is it due, who owns it, and what evidence do we have?” Foundant is close to that workflow.

2. fluxx.io — the most interesting AI-native option

Fluxx now has Finn, an AI assistant that can answer questions against grants, budgets, and documents, plus Grantelligence for analytics and risk/portfolio visibility. Fluxx also exposes an MCP integration for connecting its governed grant data to approved AI tools.

That makes Fluxx particularly interesting if you're imagining an actual grant-management agent, rather than just a database with reminder emails.

3. instrumentl.com — best if you're a grant-seeking nonprofit

Instrumentl is more oriented toward finding opportunities, managing the pipeline, and tracking deadlines than deep post-award compliance. Recent comparisons consistently position it as the nonprofit/grant-seeker option rather than a foundation-side grants-management system.

But there's an important gap

If by “evidence requirements” you mean something more sophisticated than:

“The funder requires a quarterly report due October 15.” — e.g.:

“For this grant, we need participant attendance records, demographic data, invoices, photographs, outcome measurements, board approval, and a narrative explaining variance from the original budget. We already have 7 of those 9 pieces, two are stale, and the attendance dataset doesn't reconcile with the reported number.” That is still a less-solved problem.

Most grant-management products are fundamentally workflow/database systems with automation and increasingly AI, rather than autonomous agents that continuously reason over the grant agreement, reporting requirements, organizational evidence, and source documents.

That distinction is potentially important if you're evaluating this as a new product opportunity.

What I'd want the agent to do

The compelling product isn't simply “AI grant management.” I'd define the agent around an obligation graph:

Grant award → obligation → deadline → evidence → owner → source → status → submission

Then the agent could continuously answer:

• What do we owe?
• When do we owe it?
• What evidence proves it?
• Where is that evidence?
• Is the evidence current and sufficient?
• Who is responsible?
• What's at risk?
• What should we do this week?

It could ingest the award agreement, amendments, funder emails, reporting templates, budgets, policies, spreadsheets, and prior reports, extract obligations, and create a living compliance calendar.

That is meaningfully different from a conventional grants CRM.

Tracking grants, post-award reporting deadlines, and evidence/compliance requirements through an automated or AI-assisted lens requires Grant Management Systems (GMS) that have evolved past simple spreadsheets into intelligent post-award tracking.

The top software products and platforms that specifically address grant tracking, deadline management, and evidence or compliance tracking include:

• Instrumentl (Award Assistant) : Specifically features an AI-powered "Award Assistant" designed for post-award management. You upload grant agreements or funder communications, and the AI automatically extracts 20+ key pieces of information (like reporting milestones, restrictions, and evidence requirements), provides side-by-side citations, auto-populates fields, and helps generate reporting tasks . Check it out on Instrumentl.
• Benevity Grants : Utilizes AI-driven tools for grant review, automated summaries, and scoring, alongside continuous global due diligence and investor-grade impact reporting with strict audit trails. Explore features on Benevity.
• Submittable : Offers robust workflow tools, advanced reporting engines, and form logic that help both grant makers and recipients track progress, automate follow-ups, and manage compliance milestones without losing data in email inboxes. Learn more at Submittable.
• Euna Solutions (Euna Grants) : Built heavily for public sector and local government tracking, it provides real-time dashboards for spend-downs, automatic deadline notifications, custom compliance workflows, and robust reporting engines designed to streamline audits. Visit Euna Solutions.
• Fluxx Grantseeker : A widely-used collaborative grant management platform known for giving both grant seekers and funders clear visibility into reporting requirements, payment schedules, and milestone tracking.

To help narrow down the best fit, tell me:

• Are you applying for and managing grants (as a non-profit/recipient), or are you awarding and tracking grants (as a foundation/government body)?
• What is your approximate annual grant volume?

Yes. The market is moving from simple grant calendars toward AI-assisted post-award grant operations—extracting obligations from award documents, assigning tasks, tracking evidence, and preparing reports.

Best fits for what you described

The closest matches

1. GrantPipe — strongest match if the problem is post-award compliance.
It specifically combines awards, restrictions, deadlines, evidence, reports, and audit trails. Its AI can read award letters, extract funder/dates/restrictions/budget information, and answer questions against the underlying records with source links.

2. GrantableHQ — particularly interesting for an "AI compliance agent."
It focuses almost exactly on the workflow you described: requirements, evidence status, risk, deadlines, reimbursement activity, and audit support. It is currently positioned as a private-beta product, so I'd treat it as an emerging option rather than an established platform.

3. Grantwell — strongest conceptual match for government grants.
Its workflow starts by uploading award documents; AI parses requirements into checklists, reporting cadences, owners, and due dates, with an audit trail. That's very close to the "agent reads the award and tells me what I need to do" model.

4. Mavenly / AutoGrant — better if you want the agent to cover the whole grant lifecycle.
Mavenly connects discovery, proposals, deadlines, compliance, outcomes, and reporting in one data model. AutoGrant explicitly describes turning proposal commitments and award requirements into owners, evidence needs, reporting dates, and report structures.

One important distinction

I'd separate these products into two categories:

• "Grant CRM" — tracks opportunities, applications, contacts and deadlines.
• "Grant compliance agent" — reads the award/terms, identifies obligations, tells you what evidence is required, monitors whether it's been collected, flags approaching requirements, and helps assemble the report.

Your description is much closer to the second category. That's why I'd put GrantPipe, GrantableHQ, and Grantwell at the top of the evaluation rather than conventional grant-prospecting platforms.

If you're evaluating this as a build-vs-buy decision for an AI agent, I can also map these products feature-by-feature—e.g. award-document ingestion → obligation extraction → evidence collection → deadline monitoring → accounting integration → report generation → audit trail—and identify the gaps none of them currently solve.

To track grants, reporting deadlines, and complex evidence/compliance requirements using AI-driven automation, the software market splits into purpose-built grant lifecycle platforms with emerging AI features, and customizable workflow/compliance engines.

The top software products solving this landscape span several categories:

• Instrumentl : Best for end-to-end grant tracking combined with AI-assisted document parsing and writing. It acts as a central command center that tracks open opportunities, monitors milestone and budget spend-downs, and flags upcoming deadlines.
• Granter.ai : Best for full-cycle AI support that extends past the application phase. It includes an AI assistant designed to monitor post-approval milestones, manage reporting schedules, and handle compliance documentation.
• Fluxx : Best for larger organizations and enterprises. Fluxx features governed AI tools integrated into secure environments that track operational statuses, funding obligations, and portfolio performance metrics across complex grant structures.
• Submittable : Best for structured data intake and review workflows. It utilizes built-in "smart summaries" and AI reviewer tools to triage documentation, check for consistency against compliance rubrics, and organize reporting data.
• Euna Solutions (Euna Grants): Best for public sector and government-adjacent organizations. It provides automated deadline notifications, spend-down tracking, and robust reporting engines designed to pull compliance audit trails directly from stored data fields.
• ClickUp / Airtable : Best if you want to configure a custom AI agent yourself. Using flexible databases paired with automation tools, teams frequently build custom agent architectures that ingest grant agreements, parse deliverable dates, and connect to financial ledgers (like QuickBooks) to draft initial compliance reports.

To help narrow down which path fits best, tell me:

• Are you applying for grants as a grantee, or distributing/managing them as a grantor?
• Approximately how many active grants do you need to track at once?

Tracking grants, compliance timelines, and evidentiary deliverables requires systems that combine relational database management with post-award tracking and modern AI-driven document parsing.

Products that solve these tracking, deadline, and evidence-requirement challenges span three distinct categories: specialized grant management software with native AI, custom AI agent workbenches, and flexible work-management platforms.

1. Dedicated Grant Management Software (with Native AI & Compliance)

These platforms manage the full lifecycle of a grant—from intake and award setup to tracking post-award reporting metrics, spend-downs, and audit trails.

• Fluxx Grantseeker — Offers full lifecycle tracking with robust portfolio reporting, audit trails, and an AI assistant named Finn alongside an analytical intelligence layer (Grantelligence ) designed to surface compliance and performance insights.
• Submittable — Well-known for application intake and review, featuring Smart Summary and AI tools that assist review committees, track third-party compliance data, and process natural language reporting queries.
• GrantVantage — Built natively on the Microsoft ecosystem, emphasizing intelligent post-award lifecycle management, automated financial tracking, and rigorous audit support for complex or federal compliance constraints.
• Euna Solutions (Euna Grants) — Tailored for public sector and municipal grant management, providing tracking for compliance mandates, dynamic spend-down visualization, and automated milestone reminders.

2. Specialized AI-First & Workflow Automation Platforms

If you want autonomous or semi-autonomous "agents" that ingest complex agreements, read PDF guidelines, and map proof to requirements:

• Instrumentl — Combines active grant discovery with post-award tracking, using smart matching and automated reminders to keep tracking pipelines clean from award to closeout.
• Custom AI Agent Builders (e.g., Stack AI or custom LLM frameworks) — Many organizations deploy secure, private LLM agents connected to a vector database containing their active grant agreements. These custom agents parse long-form Notice of Award (NoA) PDFs, extract exact 2 CFR 200 or funder-specific compliance deliverables, and auto-populate a shared tracking calendar.

3. General Work Management & Collaboration Tools (Configurable)

If you already use a powerful central workspace and prefer to build a custom tracking matrix powered by AI features:

• Monday.com — Frequently chosen for custom automation rules, visual pipeline stages, and email reminders for upcoming reporting deadlines, though it requires manual setup for deep financial auditing.
• ClickUp / Asana — Excellent for task-level compliance workflows, document attachments, and assigning evidentiary evidence collection owners to recurring milestone schedules using native AI project summaries.

To help narrow down the best fit, tell me:

• Are these federal/government grants (requiring strict 2 CFR 200 / uniform guidance tracking) or private foundation grants?
• Do you need an out-of-the-box SaaS platform or are you looking to build a custom AI agent workflow that connects to your existing software?

Yes. There’s a growing category of AI-native grant operations/compliance tools, but they differ quite a bit in what they automate.

For your specific requirement—track grants + reporting deadlines + evidence requirements—I’d shortlist these:

The closest matches to what you described

1. Grantwell — closest to an actual compliance agent

Its workflow is particularly interesting: upload the award documents, and it says the AI extracts requirements and turns them into structured compliance checklists, owners, due dates and reporting cadences, with an audit trail.

That's essentially:

Grant agreement → obligations → deadlines → assigned tasks → evidence → audit trail

If that's the mental model you're after, I'd put this near the top of the list.

2. AwardTrace — strongest federal-compliance orientation

AwardTrace is explicitly built around grant compliance. It parses Notices of Award, extracts requirements/deadlines, tracks reports, provides an audit-readiness checklist, and has an AI copilot that can answer questions such as “What is due this week?” or “Which grants are at risk?”

This looks especially relevant if you're dealing with federal awards, 2 CFR 200, SF-425, subawards, FSRS, etc.

3. Tracekeel — most interesting if “evidence” is the core problem

Tracekeel takes a slightly different approach: rather than primarily being a grant database, it positions itself as a post-award reporting copilot. It assembles obligations, deadlines, outcome metrics and financial information into a report context, with each number traceable back to organizational data.

That's potentially the closest match if by evidence requirements you mean:

“For every reporting obligation, tell me what evidence we need, whether we have it, where it is, how fresh it is, and what is still missing.”

One important gap

The market still seems relatively immature around continuous evidence collection.

Most products can do:

award document → requirement → deadline → reminder → report

Fewer appear to do the more ambitious agent workflow:

award document → requirement → evidence specification → automatically search connected systems → determine whether evidence exists → flag missing/stale evidence → assign owner → assemble evidence package → draft report → maintain provenance

That's an important distinction if you're evaluating this as a product opportunity rather than simply looking for software to buy.

For example, Tracekeel explicitly emphasizes that evidence/numbers are traceable to underlying data, while Grantwell emphasizes converting award documents into structured requirements and tasks.

My shortlist would therefore be Grantwell, AwardTrace, and Tracekeel first, with MonkeyPod as the more conventional established-platform option.

If you're considering building this agent rather than buying one, I can also map the competitive landscape and identify the specific whitespace none of these products currently covers.

If you mean an AI agent that actively reads grant documents, extracts obligations, tracks deadlines, reminds owners, and assembles evidence for reports/audits, the market is still a mix of true AI-native tools and traditional grant management systems adding AI features. The closest fits are:

What to look for in an AI grant agent

The strongest systems should do more than store dates. A good agent should:

1. Ingest grant artifacts

   • Notice of Award
   • grant agreement
   • funder guidelines
   • amendments
   • reporting templates

2. Extract obligations automatically

   • "Final report due 90 days after project end"
   • "Submit quarterly outcome metrics"
   • "Maintain participant eligibility records"
   • "Retain invoices for X years"

3. Build an evidence map

   • Requirement → evidence needed → source document/data owner → status

4. Monitor readiness

   • "Your Q3 report is due in 21 days; outcome data is missing from Program A."

5. Draft reports

   • Pull approved metrics
   • Assemble narratives
   • Flag unsupported claims

Depending on your organization size:

• Small nonprofit (5–50 grants/year): AwardTrace, GrantCue, TrackGrant, Instrumentl are the closest matches.
• University/research institution: Look at enterprise research administration platforms such as Cayuse, Workday, or similar systems.
• Large nonprofit/government contractor: Combine a grants ERP with AI document extraction/workflow automation.

A key distinction: many "AI grant" products focus on finding and writing grants. The harder problem you described—post-award compliance, reporting deadlines, and evidence collection—is a narrower category and fewer vendors handle it well.

If you are evaluating this for a build-vs-buy decision, I would compare vendors against a workflow of award document → obligations → evidence repository → reminders → report package → audit trail.

Several purpose-built software platforms and AI-driven solutions address grant tracking, compliance, reporting deadlines, and evidence management. The right choice depends heavily on whether you are managing grants as a recipient (grantee/nonprofit) or overseeing them as a grantor (public sector/foundation).

1. Dedicated Grant Management Platforms with AI Features

• Instrumentl : Functions as a comprehensive grant operating system. It features an Award Review Assistant tool where you can upload a grant agreement; its AI scans the document to extract key reporting deadlines, outcome requirements, allowable expenses, and legal compliance needs, turning them into trackable tasks.
• Fluxx : An enterprise-grade grants management platform that incorporates secure, governed AI tools (operating within AWS environments) to help grant teams and finance departments track operational status, funding activity, and compliance obligations.
• Forerunner : An intelligent platform tailored for modern grant programs that uses AI-powered workflows to centralize post-award tracking, field notes/evidence, progress dashboards, and reporting timelines.
• GovGrants AI : Built for the public sector, it features AI-assisted review, sub-recipient compliance tracking for reporting deadlines and required documentation, and end-to-end audit readiness.

2. Specialized Compliance & Document Parsing Tools

• Vigilant AI (Vizschön Platform) : Focused specifically on grant compliance audits, it uses advanced AI/ML to ingest documentation from multiple sources, link data to reporting requirements, and flag discrepancies or missing evidence.
• Benevity Grants : Offers continuous organizational due diligence and AI-powered grant summaries with automated tracking and investor-grade impact reporting and audit trails.

3. Flexible/Customizable Workflow Tools

• ClickUp or Airtable : If you prefer building a custom tracker rather than using an out-of-the-box grant platform, teams use these platforms paired with embedded AI to set up custom relational databases for evidence collection, automated deadline triggers, and status rollups.

To help narrow down which of these paths fits best, could you share:

• Are you tracking these grants as a grantee (receiving funds) or managing them as a grantor (giving funds)?
• Approximately how many active grants do you manage at once?