What types of projects does RaftLabs typically build?

RaftLabs builds AI applications, loyalty platforms, SaaS products, voice AI systems, automation software, and custom enterprise tools. Our portfolio spans healthcare, hospitality, fintech, and logistics, with clients across North America, Europe, and the Asia-Pacific.

How long does a typical RaftLabs project take?

Most projects take 8–16 weeks from kickoff to launch. AI and automation projects typically deliver a working MVP in 6–8 weeks. Complex enterprise platforms or multi-integration builds can take 14–20 weeks depending on scope.

Do you work with startups or only enterprise clients?

Both. We've built MVPs for early-stage founders and enterprise platforms for established businesses across healthcare, hospitality, and fintech. The process is the same: milestone-based pricing, transparent payments, and working software delivered every two weeks. Company size and stage don't matter to us. What matters is a committed budget and real intent to move forward.

Can you share project outcomes or case studies?

Yes. Our portfolio includes loyalty platforms that acquired 1,000+ users in 4 weeks, AI automation systems processing 20,000+ daily transactions, and SaaS products shipping across 70 countries. Each case study on this page includes the business problem, what we built, and the measured outcome after launch.

How can I tell whether a case study is relevant to my project?

Look past the screenshots. A useful case study names the starting problem, the constraints, what changed, and the result after launch. Scan for a similar workflow or industry, then compare the integrations, scale, and outcome with your own situation.

Custom Software Development Portfolio | AI & Automation Case Studies

Software development case studies with measured outcomes.

See the starting problem, what RaftLabs owned, the constraints behind the work, and what changed after people began using it.

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A senior product or engineering lead replies within one business day.

In short

These case studies document custom software, AI, automation, loyalty, and SaaS work after launch. Metrics are tied to the project that produced them, so the evidence stays beside the context and contribution it supports.

Case studies

Find a problem close to yours

Hospitality businesses cut inbound call costs by 80% with Call Eva

Call Eva answers every call 24/7 with natural-sounding conversation. Restaurants and hospitality businesses using it report 60-95% lower support call costs in the first month.

AI / Voice Tech

Bella Skin Institute runs a fully automated loyalty program with no vendor lock-in

We built a gamified mobile loyalty platform for a medical spa, enabling patients to earn points with built-in urgency mechanics and redeem rewards, supporting a business model where patient lifetime value depends on returning every 3-6 months for cosmetic treatments.

Healthcare

Vidmattic browser-based marketing video maker with a layered canvas editor

Serverless app development case study: a browser video editor whose layer stack compiles into an FFmpeg command inside AWS Lambda

A browser-based marketing video maker built on a Konva canvas and a serverless render pipeline: timeline JSON on SQS, FFmpeg in a Lambda layer, output to S3. Roughly six to seven months of active development.

MarTech

AI agent development for fintech: a working POC that puts brokerage accounts, crypto wallets and institutional-grade analytics behind one conversational agent

A working AI agent POC for a US fintech, unifying brokerage and on-chain holdings behind one conversational interface with institutional-grade performance analytics.

FinTech

AI Phone Agent To Conduct Voice Interviews at Scale

AI phone agents automate global feedback loops through voice interviews

Text surveys only reached people comfortable filling out forms. We built a voice platform that calls anyone with a phone, runs the interview, and has the findings ready when the last call ends.

MarTech

Musgrave receipt scanning software case study for SuperValu and Centra

Musgrave's post-campaign report records 1,062 users and 1,610 receipt submissions. At the reporting snapshot, 1,158 were AI approved, 409 AI rejected, 4 manually approved, 10 manually rejected, and 29 remained processing.

MarTech

Gas station management software case study with Gilbarco POS sync and AI invoice scanning

Gas station management software case study: Gilbarco POS sync and AI invoice scanning

A gas station management platform for a 40+ station US operator: two-way Gilbarco Passport sync, AI invoice scanning, and inventory rules for refills, boxed stock, and expiry dates.

Retail Tech

UrShipper multi-carrier shipping software dashboard

UrShipper multi-carrier shipping software case study

A project-backed account of how RaftLabs helped UrShipper recover a stalled shipping platform, move 214 existing customers into the portal, and keep improving the product after the initial build.

Shipping and logistics

Brux dental AI smile makeover SaaS platform

Brux ships a dental marketing SaaS: AI smile previews, GoHighLevel sync, and self-serve onboarding built for 1,000-office scale

Brux Smile Makeover is a dental marketing SaaS where patients upload a selfie and get a lifelike AI smile preview in seconds. We built the AI pipeline, GoHighLevel two-way CRM sync, Stripe billing, and self-serve QR flyer onboarding built for 1,000-office scale.

MarTech

LoyaltyPass delivers wallet-native loyalty cards with 60% higher enrollment than app-based programs

LoyaltyPass runs loyalty programs inside Apple Wallet and Google Wallet. Customers earn and redeem without a separate app download, and businesses get real engagement data without the friction of a native app.

MarTech

How Energia Rewards cut support tickets by 80%

A 10-12 week Energia Rewards rebuild that migrated roughly 500,000 users, reduced support tickets by 80%, and replaced a WordPress platform that had reached its operating limit.

MarTech

Building Custom Booking Software Case Study

City Break Apartments grows self check-ins 7x and direct revenue 25% with branded booking platform

We built a branded booking website with RMS Cloud integration and a Bluetooth keyless mobile app for City Break Apartments in Dublin, activating 250 Omnitec locks already installed, cutting 20+ staff hours per week, and growing self check-ins from fewer than 10 to 72+ weekly.

Hospitality

Work with us

Next project starts with one conversation.

Tell us the problem. We'll tell you whether software is the right fix, what it costs, and when it ships. No vague proposals.

Scope and cost agreed before work starts. No surprises. No obligation.
Working prototype within 3 weeks of kickoff.
Pay by milestone. You see progress before each invoice.
60-day post-launch warranty. Bug fixes, UI tweaks, and deployment support. No retainer.
All conversations are NDA-protected.

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Common questions

: RaftLabs builds AI applications, loyalty platforms, SaaS products, voice AI systems, automation software, and custom enterprise tools. Our portfolio spans healthcare, hospitality, fintech, and logistics, with clients across North America, Europe, and the Asia-Pacific.
: Most projects take 8–16 weeks from kickoff to launch. AI and automation projects typically deliver a working MVP in 6–8 weeks. Complex enterprise platforms or multi-integration builds can take 14–20 weeks depending on scope.
: Both. We've built MVPs for early-stage founders and enterprise platforms for established businesses across healthcare, hospitality, and fintech. The process is the same: milestone-based pricing, transparent payments, and working software delivered every two weeks. Company size and stage don't matter to us. What matters is a committed budget and real intent to move forward.
: Yes. Our portfolio includes loyalty platforms that acquired 1,000+ users in 4 weeks, AI automation systems processing 20,000+ daily transactions, and SaaS products shipping across 70 countries. Each case study on this page includes the business problem, what we built, and the measured outcome after launch.
: Look past the screenshots. A useful case study names the starting problem, the constraints, what changed, and the result after launch. Scan for a similar workflow or industry, then compare the integrations, scale, and outcome with your own situation.