Purpose-built AI systems for Bloomington's defining sectors: university operations at Indiana University, health and life sciences across the Cook Medical ecosystem, and nonprofit administration. We build custom LLM and non-LLM AI that integrates with the systems you already run, respects strict data rules, and delivers measurable savings. US-based team, strict NDAs.
Bloomington is unlike most Indiana markets. Its economy turns on a flagship research university, a globally significant medical-device and life-sciences cluster, and an unusually deep bench of nonprofits and foundations. From the IU campus and the life-sciences corridor out to Ellettsville, Bedford, and Spencer, the organizations that need us most are the ones where an AI mistake touches research integrity, patient safety, or a donor's trust. That is precisely the high-stakes, detail-bound work our hybrid AI is built for.
In Plain English
What We Fix for Bloomington Businesses
Most businesses around Bloomington and Monroe County do not call us asking for software. They call because the same thing keeps going wrong every week.
Calls going to voicemail while you work
The phone rings while you are on a job. By the time you call back, they hired someone else. We build systems that answer, capture what the customer needs, and get it to you.
Quotes that take days to go out
Job details end up on a notepad, in your head, and in three text messages. We put them in one place so the estimate goes out the same day.
Customers calling to ask where things stand
Every "just checking in" call interrupts real work. A customer portal lets them see it themselves.
The same information typed in three times
Written on a form, retyped into a spreadsheet, retyped again into the invoice. Enter it once and let it flow.
Client documents arriving from four different email addresses
Intake forms, signatures, and files come in scattered, and staff spend the week chasing the one missing piece instead of doing the actual work.
Fast, works on a phone, and turns visitors into phone calls and quote requests.
Online quote requests
MAKE MORE MONEY
Customers describe the job and attach photos. You price it accurately the first time.
A customer portal
SAVE TIME
One place for customers to see their job, documents, invoices, and status.
Scheduling
EASIER TO RUN
Jobs, crews, and equipment on one calendar. No double-booking.
Billing and online payment
MAKE MORE MONEY
Invoices go out when the work is done. Customers can pay online.
Customer tracking and follow-up
LOSE FEWER CUSTOMERS
Missed calls get captured. Quotes get followed up on. Nothing depends on remembering.
Document and record management
SAVE TIME
Contracts, photos, signed forms, and certificates found in seconds instead of folders.
Custom software built around your business
EASIER TO RUN
When your process has outgrown spreadsheets, paper, or software built for somebody else.
What about AI?
AI is one tool we can put inside your system. We use it when it saves you time, organizes information, finds something faster, or prepares work for your review.
If ordinary software can do the job better, we use ordinary software instead.
We are not here to sell you AI. We are here to build the thing that fixes the problem.
Your business does not have to change to fit our software. We build the software to fit your business.
We do not hand you another piece of software and expect you to figure out how to use it.
01We learn how your business actually works — a real week, not the version on paper.
02We find where the most is being lost — usually one specific handoff.
03We build the smallest thing that fixes it — one workflow, fixed price, a result you can see.
04We add to it as you grow — each piece connects to the last.
A person on your team can always review anything important before it goes out. We are a Indiana-based team and we work under an NDA whenever you want one.
Each example starts with the public-facing website, landing page, portal, or social handoff people actually use. Traditional AI handles the repeatable sorting and drafting. SolaceSentry reviews the sensitive gates before a human-approved output leaves the system.
Research focus: Bloomington blends IU research, life sciences, advanced manufacturing, hospitality, workforce housing pressure, and small-business activity.
01 / Life sciences
IU and Cook-style life-science collaboration intake
Life-science teams, research groups, and medical manufacturers: Bloomington needs structured collaboration intake that respects research context, product quality, and sensitive partner information.
A property or workforce-housing portal captures inquiries, household details, documents, location needs, and waitlist preferences.
Step 2
Traditional AI Triage
AI extracts eligibility signals, missing documents, urgency, preferred location, and duplicate inquiries.
Step 3
Business Processing
Staff get routed cases, document checklists, waitlist status, and employer or applicant communication tasks.
Step 4
SolaceSentry Review
SolaceSentry checks privacy, fair-housing language, eligibility-risk flags, and required human approval before messaging.
Step 5
Output
A reviewed applicant packet, next-step message, and availability dashboard.
Proof metric: Incomplete applications, response time, and status-call volume.
03 / Hospitality
Tourism and hospitality booking follow-up
Hotels, short-term rentals, venues, restaurants, and visitor services: Bloomington visitor spikes from university events and tourism require fast follow-up across bookings, waitlists, and service questions.
A reviewed booking response, internal task list, and customer status thread.
Proof metric: Lead response time, abandoned inquiries, and booking conversion.
04 / Small business
Small-business and student-market website conversion
Retailers, restaurants, studios, clinics, and campus-adjacent services: Local businesses need websites that turn social attention and student-market spikes into organized requests, not inbox clutter.
A conversion-focused site connects social links, menus or services, forms, offers, appointment requests, and follow-up capture.
Step 2
Traditional AI Triage
AI classifies leads, drafts replies, detects stale follow-ups, and turns recurring requests into task templates.
Step 3
Business Processing
Owners see requests by type, urgency, customer stage, and next action without checking every app separately.
Step 4
SolaceSentry Review
SolaceSentry checks public claims, discount promises, refund language, and sensitive customer details before replies.
Step 5
Output
A reviewed response, booking or sale task, and owner dashboard for follow-up.
Proof metric: Social-to-form conversion, stale follow-ups, and booked requests.
The point is not a generic chatbot. The point is a website-connected operating workflow with AI where it helps, SolaceSentry where risk matters, and people in charge of final judgment.
We are not trying to be the cheapest software on the shelf. We are trying to be the lower-risk custom path when cheap apps do not fit and enterprise platforms are too much. Approved setup can be split across the build while monthly support stays predictable.
The goal is simple: price above basic SaaS because the work is custom, but package the first step so the monthly decision feels closer to a serious software subscription than a traditional open-ended agency project.
2026 Appreciation Discounts
2026 USA 250 Birthday Special
10% off eligible DID service fees
Available for new approved projects and support agreements signed by December 31, 2026.
Veteran and disability-owned businesses
Additional 5% off eligible DID service fees
Veteran-owned and disability-owned businesses can stack this with the USA 250 special.
Discounts may stack up to 15% off eligible DID service fees. Hosting, software licenses, SMS, AI usage, taxes, data licenses, and other pass-through vendor costs stay separate.
We are not trying to beat every cheap subscription. We are trying to beat the total cost of forcing a local business into software that does not match how it works.
Not the cheapest app
A generic monthly tool can be cheaper when your process already fits it. We say that plainly.
Less than a full custom build
Most custom software projects start far above these entry offers. We narrow the first scope so a local buyer can start.
Premium because it fits
The value is the mapping, setup, integration, review controls, and local support around the way the work really happens.
Custom Bridge Plans
Starter Bridge
$750 activation + $399/mo
A narrow custom workflow that feels closer to SaaS: contractor follow-up, a training tracker, a simple evidence vault, or one intake flow.
Growth Bridge
$1,500 activation + $699/mo
Best for teams that need several workflow steps, light integrations, a dashboard, a portal, or staff-facing automation.
Regulated Bridge
$3,000 activation + $1,250/mo
For legal, healthcare, cyber, manufacturing, and audit-sensitive work where access controls, review steps, and evidence matter.
Bridge plans assume a 36-month support agreement. If the agreement ends early, the unpaid setup balance becomes due. Third-party software, hosting, SMS, and AI usage stay separate.
Market Price Check
Basic subscriptions
Often about $30-$550/month before extra users, add-ons, setup time, and process gaps.
Best when a business needs its calls, quotes, files, evidence, approvals, and follow-up connected around the way it already works.
Custom agencies
Public software-project guides commonly place small custom builds in the $10k-$50k+ range, with U.S. senior work often $120-$250+/hr.
DID uses fixed entry offers and smaller first scopes so a local team can prove the workflow before approving a larger build.
Enterprise platforms
QMS, field-service, SOC 2, GRC, and vCISO paths can quickly reach the low tens of thousands once onboarding and support are included.
DID is the bridge: more tailored than a cheap app, far less commitment than buying enterprise software before the team is ready.
Entry audit credit
For many local buyers, a workflow audit can be credited toward the first build when the implementation is approved within 30 days.
Setup split
Approved setup can be billed by milestone or spread over 3-12 months depending on region, scope, risk, and monthly support.
3-year partner price
A 36-month support agreement can earn a 10-12% managed-support discount, price-lock normal support rates, and reduce upfront strain.
Bloomington, Indiana: priced for the space between SaaS and enterprise.
Bloomington buyers often need careful data handling, human review, and workflow cleanup without an enterprise-sized rollout.
Recommended first offer
Starter Bridge or Growth Bridge
$750 activation + $399/mo for a narrow workflow, or $1,500 + $699/mo for portals and dashboards.
Local posture
Indiana University, healthcare, nonprofits, hospitality, research, and public-service operations
Underserved gap
Bloomington buyers often need careful data handling, human review, and workflow cleanup without an enterprise-sized rollout.
DID strength
DID fits when the work involves sensitive records, forms, research, intake, or cross-office follow-up.
When SaaS is enough
Standard SaaS works for simple appointment, donor, ticket, or course workflows.
When DID is the fit
DID fits when the work involves sensitive records, forms, research, intake, or cross-office follow-up.
Targeted needs
Higher education, research support, and administrative automation
Healthcare, clinic, and nonprofit document workflows
Hospitality, local service, and student-facing intake systems
Which Bloomington, IN industries do you focus on first?
Our vertical wedge in Bloomington is university operations, health and life sciences, and nonprofit administration. These three sectors define the local economy and share a common trait: high-volume, compliance-sensitive, mission-driven work where custom AI pays off far more than a generic tool.
Bloomington is built around Indiana University, one of the country's major research institutions, with tens of thousands of students and a sprawling administrative and research apparatus. Wrapped around it is a health and life-sciences base anchored by the Cook Medical ecosystem and its network of medical-device suppliers, plus a wide layer of nonprofits, foundations, and community organizations tied to both the university and the region.
We lead with these verticals because the same characteristics that make them hard also make them rewarding: grant and audit requirements, regulated data, and zero tolerance for unverifiable output. Compared to nearby Indianapolis and Terre Haute, Bloomington skews toward research and mission work, and our hybrid of LLMs and proprietary non-LLM AI is tuned for it.
How can AI help Indiana University operations and research administration?
AI helps Indiana University operations by automating the document-heavy, policy-bound work that surrounds a large research university. Bloomington runs on a campus the size of a small city, and units from sponsored programs to facilities drown in repetitive coordination. Examples include:
Grant pre-award and post-award administration: proposal drafting support, budget checks, and reporting
IRB and research-compliance routing, summarization, and status tracking
Student, registrar, and advising workflows: intake, classification, and FAQ response
Research-data management, metadata tagging, and literature triage for departments
We pair LLM systems that draft, summarize, and route documents with non-LLM systems that schedule, allocate, and forecast. Academic and funding decisions always stay with people; the AI removes the busywork around them.
Do you build AI for health and life sciences companies in Bloomington?
Yes. Bloomington is one of Indiana's strongest medical-device and life-sciences hubs, anchored by the Cook Medical ecosystem and a network of suppliers, contract manufacturers, and labs. We build AI for the precision-critical work that defines this sector:
Manufacturing quality, defect detection, and automated inspection scoring
Supply-chain, demand, and inventory forecasting across multi-tier suppliers
Regulatory and quality-system documentation drafting and review support
Predictive maintenance and yield optimization on production lines
For any system that touches patient or clinical data, we work to HIPAA-aligned and FDA-quality-system expectations rather than claiming blanket certifications. Our forensic, audit-first methodology fits an industry where traceability is not optional.
Can nonprofits and foundations in Bloomington afford custom AI?
Yes, and Bloomington's dense nonprofit and foundation sector is often where custom AI delivers the clearest return. Small mission-driven teams spend disproportionate time on administration; targeted AI lets them operate like much larger organizations. Common projects include:
Grant-writing and reporting assistants that reuse prior narratives and data
Donor and constituent data cleanup, deduplication, and enrichment
Outcome- and impact-tracking dashboards for funders and boards
Case-management and intake automation for service organizations
Because we scale engagements and historically deliver 40 to 60 percent five-year savings versus licensed platforms, organizations in Bloomington and nearby Bedford and Ellettsville can start with one workflow and expand as the value proves out.
Do you work with HIPAA and regulated data in Bloomington?
Yes. We design AI systems aligned with HIPAA, SOC 2, and research-compliance frameworks such as FERPA for student data and IRB requirements for human-subjects research. We do not claim blanket certifications, but we build with frameworks that support compliance.
Bloomington's mix of university research, regulated life-sciences manufacturing, and nonprofit client data means strict handling rules are the norm, not the exception. We understand PHI, student records, audit trails, access controls, and data-residency expectations, and we build AI that fits inside your compliance protocols rather than around them.
We work with your compliance, IRB, and quality teams during design and deployment. If you need on-premise hosting, air-gapped systems, or custom encryption, we accommodate that.
Can you integrate AI with university and enterprise systems in Bloomington?
Yes. Most Bloomington organizations run on established systems: university ERP and student-information platforms, research-administration tools, EHR and quality systems in life sciences, and donor or grant databases in nonprofits. We specialize in integration, not replacement.
We connect AI to your existing software via APIs, database queries, file exports, custom interfaces, or batch processing. If your data lives in silos, uses legacy formats, or spans inconsistent schemas across campus units or supplier systems, we handle the data preparation and normalization as part of the engagement.
You keep the systems your staff already know. We build around what you have rather than forcing a rip-and-replace migration.
What is non-LLM AI and when do Bloomington organizations need it?
Non-LLM AI refers to optimization algorithms, forecasting models, classification systems, simulation engines, and decision logic that do not generate text like ChatGPT. They solve precision problems specific to Bloomington's sectors:
Demand forecasting and yield optimization on Cook-ecosystem production lines
Classroom, facility, and exam scheduling across Indiana University units
Donor-propensity and program-outcome modeling for nonprofits
Quality-inspection scoring and defect classification in manufacturing
LLMs are powerful for language, but they are the wrong tool for high-precision numerical work, real-time decisions, or deterministic outcomes. Many Bloomington organizations need non-LLM AI for the business-critical systems where explainability and accuracy are non-negotiable.
How do you handle data security for Bloomington clients?
Security is foundational, not an add-on. All personnel are US-based and operate under strict NDAs, and we never use your data to train third-party models. We design systems with access controls, encryption at rest and in transit, audit trails, and role-based permissions from day one.
Our background includes digital forensics and high-scrutiny environments, so we understand adversarial and sensitive contexts, from protected research data at Indiana University to regulated life-sciences records. If you need air-gapped systems, on-premise deployment, or campus-hosted infrastructure, we accommodate that.
We do not take client data outside your environment unless explicitly authorized, and you retain full ownership of your data and models.
What does AI development cost in Bloomington?
Our typical rate range is $90–$300+ per hour depending on project complexity and team composition. Specialized custom non-LLM AI (forecasting models, optimization and inspection engines) can reach approximately $1,200 per hour for highly technical work.
Total project cost varies with scope. A focused nonprofit or departmental automation might run 150–400 hours, while a full life-sciences or university enterprise system can exceed 1,000 hours. We provide estimates after discovery and avoid fixed bids that force shortcuts.
Historically, our clients have seen 40 to 60 percent cost savings over five years compared to licensed platforms once customization, per-seat fees, and operational efficiency are factored in. We optimize for total cost of ownership, which matters for grant-funded and mission-driven Bloomington budgets.
What is Third-Way Alignment and why does it matter in Bloomington?
Third-Way Alignment is our approach to AI development, built on three laws: Mutual Respect, Shared Flourishing, and Ethical Coexistence. It matters in Bloomington because universities, life-sciences firms, and nonprofits all depend on human judgment, ethics review, and mission integrity.
We combine LLMs for language tasks with proprietary non-LLM AI for precision tasks, so each problem gets the right architecture instead of being forced through a single text-generation model. Founded by John McClain, whose roughly two decades of digital-forensics and government work shaped our audit-first mindset, we build systems that augment scholars, scientists, and program staff rather than replacing them.
For a research university, a regulated manufacturer, and a grant-funded nonprofit alike, that means accuracy, explainability, and traceability are treated as requirements, not afterthoughts.
US-based team, strict NDAs, security-first approach. Tell us about your Indiana University, life-sciences, or nonprofit workflow, your data boundaries, and the outcome you need.