Chicago raised $2.8B in AI and ML funding across 180+ deals in 2025. Most capital went to enterprise AI applications, not infrastructure or foundational models. The city has strong B2B SaaS investors who moved into AI but fewer pure ML-focused funds than SF or Boston. You'll find more investors funding AI-powered vertical SaaS than AGI research here.
Emerald Development Managers (Chicago): Backed Tempus AI at $8.1B valuation for cancer diagnostics and genomics
ARCH Venture Partners (Chicago): Early investor in OpenAI, invested in Chicago's Exelon AI energy optimization
Hyde Park Venture Partners (Chicago): Led Foxtrot AI's $12M Series A for retail prediction models
OCA Ventures (Chicago): Backed Tovala's AI meal planning at $30M Series B valuation
MATH Venture Partners (Chicago): Invested in Kira Systems at $50M+ valuation for legal AI
Pritzker Group Venture Capital (Chicago): Backed Uptake at $2.3B valuation for industrial predictive maintenance
M25 (Chicago): Seeded multiple Chicago AI startups including Talla at $7.5M Series A
Chicago Ventures (Chicago): Early investor in Cameo's AI video generation features
KCK Group (Chicago): Backed ActiveCampaign at $3B valuation for marketing automation AI
Corazon Capital (Chicago): Led multiple AI healthcare deals including Livongo pre-exit
Jump Capital (Chicago): Invested in Shield AI at $2.8B valuation for autonomous defense systems
Manifest (Chicago): Backed Clearcover's AI-driven insurance underwriting at $500M valuation
Cultivian Sandbox Ventures (Chicago): AgTech AI focus, backed Taranis at $30M Series B
PEAK6 (Chicago): Trading firm investing in AI models for financial services and logistics
Apex Venture Partners (Michigan): Regular Chicago AI investor, backed Duo Security at $2.35B exit
Sigma Prime Ventures (Chicago): Early-stage AI infrastructure and applied ML focus
Chicago has 30+ active AI investors but most fund applied AI in specific verticals, not foundational models or ML infrastructure. Average seed round is $2.2M, Series A is $10M. The city's strength is enterprise AI for healthcare, fintech, logistics, and manufacturing.
Chicago investors want to see AI solving real business problems with measurable ROI. They won't fund pure research or AGI moonshots. If you're building GPT wrappers, expect tough questions about moats and defensibility. The ecosystem prefers vertical AI solutions over horizontal platforms.
You won't raise large AI infrastructure rounds in Chicago. Plan your Series B+ rounds in SF if you're building foundational models. But for applied AI in healthcare, fintech, or industrial applications, Chicago offers domain expertise SF funds lack.
Local presence: Chicago AI investors are hands-on with go-to-market strategy. They expect quarterly board meetings in person and will connect you to enterprise customers at United, Deloitte, and Abbott. Remote-only relationships don't work here.
Portfolio companies: Check if they've backed AI companies that actually shipped products and generated revenue. Chicago has less tolerance for research-stage AI than SF. Look for investors with portfolio companies doing $5M+ ARR, not just exciting demos.
Check sizes: Seed rounds are $1-3M, Series A is $8-12M. Chicago AI investors write smaller checks than SF but won't pressure you to overhire. Expect more reasonable burn rates and longer runways.
Local network: Chicago AI investors can intro you to Fortune 500 AI buyers at Caterpillar, Boeing, and Abbott. Enterprise sales cycles are 9-12 months - having investor intros to economic buyers matters more than extra capital.
Communication: Use Ellty to share decks with trackable links. Chicago investors will review your model architecture slides and customer validation sections repeatedly. You'll see which technical details they focus on before first meetings.
Follow-on capacity: Most Chicago AI funds can lead through Series A but struggle with Series B+. Ask about their SF co-investment relationships during initial conversations.
Research local deals: Check Built In Chicago and ChicagoInno for AI funding announcements. Most Chicago AI deals don't make TechCrunch but appear in local publications. Follow Crunchbase alerts for Chicago AI companies to see which investors are active.
Leverage local ecosystem: mHUB is strong for hardware AI and robotics. 1871 runs AI-focused events and has investor connections. University of Chicago and Northwestern have AI research labs that connect to local investors. MATTER focuses on healthcare AI.
Build relationships first: Chicago AI investors rarely take cold emails seriously unless you have SF pedigree. Get warm intros through portfolio CTOs or technical advisors. The city values technical credibility - bring your ML lead to first meetings.
Share your pitch deck: Upload to Ellty and create unique links for each Chicago investor. You'll notice they spend more time on your model performance metrics and customer validation than on market size slides. Track which technical details get attention.
Attend local events: AI Chicago meetup draws 500+ people and investors actively scout there. TechWeek Chicago and Chicago AI Conference bring national investors looking for local deals. Skip generic startup events and attend ML-specific gatherings.
Connect with portfolio founders: Message CTOs at Uptake, Tempus, and ActiveCampaign. They'll tell you which Chicago AI investors actually understand machine learning vs. which just chase buzzwords.
Organize due diligence: Set up an Ellty data room before meetings. Chicago AI investors will request model architecture docs, training data details, and customer case studies early. Have technical documentation ready with view analytics.
Understand local pace: Chicago AI deals take 3-5 months from first meeting to term sheet. Investors here will dig into your model performance, data quality, and technical moat. They move faster than East Coast funds but slower than SF.
Chicago AI investors are former operators, not career VCs. They'll ask detailed questions about model accuracy, inference costs, and production reliability. If you can't explain your ML approach clearly, bring a technical co-founder or advisor who can.
The city's enterprise focus means B2B AI gets funded easily. Consumer AI apps struggle unless you have viral growth or clear monetization. Chicago investors saw too many AI chatbot and personal assistant failures and now prefer enterprise applications.
Applied AI in healthcare, fintech, logistics, and manufacturing gets traction here. Foundation models, AGI research, and pure ML infrastructure won't find Chicago funding. Know which verticals you're targeting before approaching local investors.
Healthcare-focused growth equity with major AI investments including Tempus's genomics and cancer diagnostics platform.
One of the best early-stage deep tech investors globally with Chicago roots and OpenAI on the portfolio.
Chicago-based early-stage fund with growing AI portfolio focused on Midwest startups.
Generalist early-stage fund with successful AI exits and strong Chicago portfolio presence.
Enterprise software focused with strong track record in legal tech AI and vertical SaaS ML applications.
Chicago's largest VC with major AI success including Uptake's $2.3B valuation for industrial predictive maintenance.
Chicago's most active seed fund with multiple AI investments across sectors and strong technical founding teams.
Early-stage consumer and marketplace investor with AI features in multiple portfolio companies.
Late-stage investor with ActiveCampaign's $3B valuation showcasing marketing automation AI success.
Healthcare investor with multiple AI exits and strong digital health ML portfolio.
Growth equity with defense AI and autonomous systems including Shield AI's $2.8B valuation.
Insurance and fintech investor with Clearcover's AI underwriting at $500M valuation.
AgTech specialists with AI-powered crop monitoring and farm management investments.
Trading and fintech firm investing in AI models for financial services and logistics optimization.
Michigan-based but active in Chicago with security AI and infrastructure ML investments.
Chicago early-stage fund focused on AI infrastructure and applied ML with technical founder backgrounds.
These 16 investors backed Chicago AI companies in 2025-2026. Before you pitch local funds, set up tracking so you know which investors actually engage with your technical details.
Upload your deck to Ellty and create unique links for each Chicago AI investor. You'll see exactly which slides they review and how much time they spend on your model architecture, training data, and accuracy metrics. Chicago AI investors skip market size slides and focus on technical differentiation and customer validation. Track where they spend time.
When Chicago investors request technical documentation or customer contracts, share an Ellty data room instead of Dropbox links. Your model architecture, training datasets, performance benchmarks, and customer case studies in one secure place with view analytics. You'll know when they're in serious technical diligence.
Do I need to be based in Chicago to raise from Chicago AI investors?
Not necessarily, but it helps. Chicago AI investors prefer local teams or founders willing to spend significant time in the city for customer development. If you're targeting enterprise AI buyers at Fortune 500s headquartered in Chicago, local presence matters. Pure remote teams can raise here if they have strong traction.
How does Chicago compare to SF or Boston for AI fundraising?
Chicago has fewer pure AI/ML funds but more investors funding applied AI in specific verticals. SF is better for foundational models and ML infrastructure. Boston leads in biotech AI. Chicago excels at enterprise AI for healthcare, fintech, logistics, and manufacturing. Valuations are 30-40% lower but investors offer deeper domain expertise in these sectors.
What's the average seed round size for AI startups in Chicago?
Seed rounds are $1.5-3M, smaller than SF's $3-5M seeds. Chicago investors expect more customer validation before seed rounds. Pre-seed rounds of $500K-1M are common for technical teams with demos. Series A rounds are $8-12M with $3-5M ARR expectations.
Should I raise from Chicago investors or go straight to SF?
If you're building applied AI for healthcare, fintech, or industrial applications with enterprise sales motion, Chicago investors add value beyond capital. If you're building foundational models, LLM infrastructure, or consumer AI, raise in SF. Chicago won't fund AGI research or models without clear B2B applications.
Do Chicago AI investors understand machine learning?
Some do, some don't. ARCH, M25, and Sigma Prime have technical partners who understand ML. Others evaluate based on customer traction and business metrics. Always bring your technical co-founder or ML lead to first meetings. Chicago investors value technical credibility.
What AI sectors get funded most in Chicago?
Healthcare AI, fintech ML, industrial predictive maintenance, and logistics optimization get funded easily. Legal AI and insurance tech also have traction. Consumer AI apps struggle unless viral. Foundation models and pure ML infrastructure won't find Chicago funding.
How technical do I need to be in Chicago AI pitches?
More technical than SF consumer investor pitches, less technical than SF AI infrastructure pitches. Chicago investors want to understand your model's accuracy, training data quality, inference costs, and technical moat. But they care more about customer ROI and sales metrics than research papers.