To better serve our customers and complete additional client audits, we are moving the opening of our services to August 1, 2026. These added benefits are worth the short wait and will not increase the price.

Questions, Answered

Custom AI Questionsfor Indiana & Central Illinois

Detailed In Design builds purpose-built AI for healthcare, legal, and advanced-manufacturing teams across Indianapolis, Lafayette, and central Illinois. Below are direct answers on what we build, how we handle security and compliance, what it costs, and how an engagement runs.

Who We Build For First

Which industries do you focus on?

We lead with three high-stakes verticals where off-the-shelf tools fall short: healthcare and life sciences, legal and professional services, and advanced manufacturing and engineering. These sectors define the Indianapolis and Lafayette economies, and each demands precision, accountability, and strict data handling.

Healthcare & Life Sciences

HIPAA-aligned AI for hospital networks, clinics, and research labs around Indianapolis and Bloomington. Document processing, predictive analytics, and decision support built with encryption, audit trails, and access controls.

Legal & Professional Services

Legal workflow automation and case-document intelligence for law firms across Indianapolis, Lafayette, and Carmel. We build against legal confidentiality frameworks with US-based teams under strict NDAs.

Advanced Manufacturing & Engineering

Optimization, simulation, and forecasting for manufacturers, ag-tech, and engineering firms near Lafayette and West Lafayette, a region anchored by Purdue research and Subaru and Caterpillar operations.

Full Knowledge Base

Everything Else, In Detail

General Services

Custom AI development means building software and AI around a specific job in your business or personal workflow. Instead of asking you to paste information into a generic chatbot, we map the work, connect approved data, add the right automation, and keep human review where it matters.
Yes. A contractor can use a missed-call and quote follow-up system. A manufacturer can use an audit packet builder. A law firm can use a client document portal with attorney review gates. A clinic can use intake and reminder workflows. A family caregiver can use a private organizer for appointments, records, reminders, and questions for care visits.
Existing platforms offer pre-built features you configure. Custom AI is built specifically for your problem. If your workflows are unique, your data is complex, or your compliance needs are strict, custom AI gives you control that platforms cannot.
A chatbot subscription is a blank tool that waits for someone to explain the work, paste context, check the answer, and move it somewhere useful. Detailed In Design builds the surrounding system: workflow steps, data boundaries, integrations, dashboards, review controls, audit trails, and success measurements.
Yes. We build fine-tuned LLMs, retrieval-augmented generation (RAG) systems, conversational agents, and document processing tools. But we do not force LLMs into every problem. Some tasks need non-LLM AI.
Non-LLM AI includes optimization algorithms, forecasting models, simulation engines, classification systems, and decision logic. These systems solve numerical, spatial, and deterministic problems where LLMs are not the right tool.
Yes. We build hybrid architectures where LLMs handle language tasks and non-LLM AI handles precision tasks. This gives you the strengths of both without forcing everything through text generation.

Security and Compliance

Yes. We design systems aligned with HIPAA frameworks. We do not claim blanket HIPAA certification, but we build with access controls, encryption, audit trails, and data handling practices that support compliance.
Yes. We build systems designed to align with SOC 2 frameworks for security, availability, and confidentiality. We work with your compliance teams during architecture and deployment.
Yes. All personnel are US-based and operate under strict NDAs. We do not offshore development or data handling.
Security is foundational. We use encryption at rest and in transit, role-based access controls, audit trails, and secure deployment practices. If you need on-premise hosting or air-gapped systems, we accommodate that.
No. We do not use your data to train third-party models. You own your data. We build systems that respect your data residency, sovereignty, and control requirements.

Technical Capabilities

We work across Python, C, C++, PHP, and JavaScript depending on project needs. For AI, we primarily use Python with libraries like TensorFlow, PyTorch, scikit-learn, NumPy, and SciPy.
Yes. We specialize in integration. We connect AI to your existing software via APIs, database queries, file exports, or custom interfaces. We do not require you to rip and replace functional systems.
Both. We deploy on-premise, hybrid, or cloud depending on your security, compliance, and operational needs. You are not locked into a single vendor or platform.
Yes. Real-world data is often messy, siloed, or incomplete. Data preparation, cleaning, and normalization are part of the work. We handle it.

Pricing and ROI

Our typical range is $90 to $300+ per hour depending on project complexity and team composition. Specialized custom non-LLM AI can reach approximately $1,200 per hour for highly technical work.
Total project cost varies widely. A focused workflow automation might be 100 to 400 hours. A full enterprise system could be 1,000+ hours. We provide estimates after discovery, but scope drives cost.
Yes, for many workflow and software builds after discovery. We define the problem, quote the labor, separate outside costs such as hosting or AI usage, and get approval before new scope starts. Research-heavy or highly experimental AI work may still be handled in phases because the unknowns are real.
Historically, our clients have seen 40 to 60 percent cost savings over 5 years compared to off-the-shelf alternatives when factoring in customization, licensing, and operational efficiency. We focus on total cost of ownership, not just upfront cost.

Process and Engagement

We start with discovery: understanding your workflows, data, goals, and constraints. We do not sell pre-built solutions. Every engagement begins with listening.
Timelines depend on scope. A focused workflow automation might take 2 to 4 months. A full enterprise system could take 6 to 18 months with iterative releases. We provide timelines after discovery.
We work in phases: discovery, architecture, development, testing, deployment, and post-launch support. You see working prototypes early. We do not disappear for months and then deliver a finished product.
Third-Way Alignment is our approach built on three laws: Mutual Respect, Shared Flourishing, and Ethical Coexistence. We design AI that augments human capability without replacing human judgment.

Regional Services: Indiana, Indianapolis, Lafayette

Yes. We serve businesses across Indiana with a practical focus on Greater Indianapolis, Lafayette, Bloomington, Terre Haute, Kokomo, Anderson, Muncie, and nearby Central Indiana areas. Our team operates remotely with all personnel US-based.
In Indianapolis, we work with healthcare systems, law firms, financial services, and enterprise operations. We specialize in HIPAA-aligned healthcare AI, legal workflow automation, and regulated industry systems.
In Lafayette, we focus on engineering AI, optimization, simulation, and research-grade systems. We serve advanced manufacturing, agricultural tech, engineering firms, and research organizations.

Learn how Third-Way Alignment shapes our work

Founder John McClain brings nearly two decades of digital forensics and government experience to every build.

Still Have Questions?

Tell us about your workflow, your data boundaries, and the outcome you need. We respond within 24 hours, and every inquiry is confidential and protected under NDA upon request.