AI systems that replace manual work in Evanston, IL
We build and run systems with your team. Start with a prototype in a day.
Most teams come in with one thing they want to fix. Research data consolidated manually from multiple sites, or investor updates built by hand from four different tools. That's where we start. Once we see how everything actually works, there are usually many places where things can be simplified and tuned.
Get workflow auditBuilt for Organizations With High Technical Standards
If off-the-shelf tools felt too shallow, this is the alternative.
We use AI to take over the parts of your workflow that are currently manual.
Research & Data Pipelines
If your team collects data from multiple sources and someone cleans and consolidates it before anyone can use it, We build the pipeline that does that automatically. Collect, validate, route — no one in between.
Startup Operations Infrastructure
If you're an early-stage company and your founder is spending a third of the week on reporting and ops, that's what we fix. The system scales with you so you're not re-building it in six months.
Grant & Academic Reporting
Specific formats, specific deadlines, data scattered across project tools. We build the system that compiles it on schedule without the last-minute scramble.
Technical Integrations & Data Flow
Multiple APIs, multiple data sources, manual exports filling the gaps. We build the integrations so data flows between your systems reliably, without someone exporting and re-importing every week.
What We Build for Evanston Organizations
These are the kinds of things teams around Evanston usually bring in:
- Research data compiled from multiple sources, cleaned, and routed to analysis pipelines automatically
- Grant reporting packages assembled from project data and formatted to funder specifications
- Startup KPI dashboards compiled from product, sales, and financial data, updated automatically
- Technical release documentation assembled from repositories and team inputs on a fixed schedule
- Client data pipelines monitored for reliability with automated alerts on failures or anomalies
- University partnership reporting automated from project management and time tracking systems
Systems we've built
Different problems. Same pattern: use AI to take a manual workflow and make it run on its own.
NHL arena data processing
The Climate Pledge Arena sustainability team has to pull together large datasets for reporting and audits: E.g., food, beverage, and merchandise sales. We set up a system that auto ingests, processes and structures the data. We stay involved through each audit cycle responding to auditor questions, explaining methods, and helping decide when to question assumptions or adjust.
Product sales team
A sales team was searching for retail stores manually and tracking them in a spreadsheet. We replaced it with an AI-powered system that finds leads and keeps everything organized automatically. Saves hours every week and reduces errors.
Music studio
A cello teacher wasn’t showing up in local search. We rebuilt her site around how people actually search, using AI to generate and structure the content. Now new students find her from Google, and updates happen the same day.
SaaS compliance platform
An energy leader needed a better way to handle regulatory reporting. We built a system that uses AI to organize the data, run the workflow, and draft report sections so everything comes together in one place.
Website builder
We built a system that uses AI to generate and update websites without starting from scratch each time. It handles structure, content, and changes as you go.
Common Questions About AI Automation in Evanston
Can you handle complex data pipelines with multiple source formats?
Yes. Research and technical organizations commonly deal with data arriving in CSV, JSON, XML, API responses, database exports, and manually entered forms - sometimes all for the same analysis. We build pipelines that ingest from any source format, normalize the data, validate it against expected schemas, and deliver it analysis-ready. The messy multi-format reality of real data is what we're built for.
Do you work with research organizations and university spinoffs in Evanston?
Yes. Evanston's proximity to Northwestern creates a specific business environment, and we work with organizations in it: research spinoffs, grant-funded projects, university-affiliated labs, and technical startups. We understand the combination of high data complexity, specific reporting requirements, and limited operational headcount that characterizes these organizations.
How do your systems compare to building automation in-house?
Faster to deploy, professionally maintained, and built by a senior engineer who's done it before. Many Evanston technical teams have the capability to build automation in-house but not the bandwidth. We deliver a working prototype in a day, production shortly after - not the months it takes when your engineers are splitting time between automation and their core product. We maintain it ongoing, but we also build it so your team can understand, run, and adapt it independently.
Can you automate grant reporting with specific funder formatting requirements?
Yes. Grant reporting formats vary by funder and program - NSF, NIH, DOE, and private foundations all have different requirements. We build reporting systems that pull data from your project tracking and financial systems and compile it into the exact format each funder requires. Reporting periods don't trigger emergency data compilation anymore - the data is always ready.
What technology stack do you use to build automation systems?
We use modern, maintainable technology: Python, TypeScript, and cloud infrastructure on AWS. We choose the right tool for each problem rather than forcing everything into one framework. For data pipelines, that might mean Python. For real-time integrations, TypeScript with serverless functions. For AI extraction, purpose-built models. Everything is documented, version-controlled, and built to be maintained long-term.
What makes this different
We're not a SaaS product, not an agency, not a consulting engagement. We take what your team already does — data consolidation, reporting, integrations — and make it run without someone doing it manually.
Most systems start as a working prototype within a day. You see something real before you commit to anything.
We build it and run it with you. But your team can understand it and run it without us. Evanston teams tend to care about that — they want to know how it works, not just that it works.
The systems run on AI. You just see the output.
We're based in the Chicago area, but most of our work happens remotely with teams across the US.
We Also Serve Nearby Communities
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