We’ve digitized law firms and shipped production legal software end-to-end. Now we bring those patterns to US mid-market firms in 8 weeks.
Stanford-engineered, eval-disciplined production AI. Validated by the ABS & Co. engagement and 18 months operating Casetrack. Start with a $15K AI Readiness Audit.
ABS & Co.
Digitized end-to-end
Brand, search, operational substrate, and eval-disciplined AI surfaces — our primary legal-vertical reference.
18 months
Operating production legal AI
Casetrack ran in production handling real matters for real attorneys. Sunset 2026 to refocus on services.
NASA · Sequoia · Stanford
Credentials investors and GCs recognize
Stanford MS&E founder · Sequoia InSITE Fellow · NASA Artemis subcontractor · Savaree → Careem exit.
Empower your medium-sized business with enterprise grade AI – minus the enterprise complexity
Our Work
Why Medium-Sized Businesses Trust Us
Explore how we drive growth across critical areas.
Modernize Your Foundation
AI-driven ERP solutions, cloud migration, and workflow integration that automate 50% of repetitive tasks and bring your core systems into the modern era.
- 40% faster supply chain forecasting
- 80% customer query resolution
Automate to Innovate
RPA for finance, HR, and supply chain workflows that reduce manual labor by 60% and cut operational costs by 30% within 6 months.
- $250K annual savings on average
- 70% faster invoice processing
Win Loyalty at Scale
AI-powered customer journey mapping and personalized experiences that boost retention by 35% and conversion rates by 20%.
- 25% higher repeat purchases
- 50% faster resolution times
Experts in every aspect of the product lifecycle
Whether you’re a Fortune 500 or a startup in stealth mode — we give our clients the creative, technical, and business talent they need to succeed.
Cloud & AI Integration
Unlock agility with seamless cloud and AI adoption.
Intelligent Automation
Replace manual processes with precision.
Customer Experience Redefined
Turn buyers into advocates with AI-driven insights.
Stanford-engineered. Production-shipped. Investor-recognizable.
Qasim Zafar
Founder & CEO
Stanford MS&E
Management Science & Engineering researcher
Sequoia InSITE Fellow
Sequoia Capital fellowship for early-stage founders
NASA Artemis subcontractor
Product manager — Lunar Gateway program
Savaree → Careem exit
Founding-team operator experience
18 months of production legal software
Built and operated Casetrack (sunset 2026)
Stanford MS&E researcher and Sequoia InSITE Fellow who founded AppRocket in 2017. Has shipped production AI for NASA Artemis (Lunar Gateway), digitized law firms end-to-end, and previously built and operated Casetrack, a production legal-software product (sunset 2026 to focus on services).
Our relationship is more of a transparent partnership where we talk about how we can be successful together and don't have misaligned expectations
They were able to turn around an entire platform within 6 weeks. Kudos to their responsiveness and speed!
I've had a great experience working with Qasim and recommend his product leadership highly. He helped us navigate through the complexities of revamping our business on digital with clarity and efficiency.
From Start to ROI in 90 Days
Built for the fast-paced SME environment, our AI solutions for medium-sized businesses can be deployed and demonstrate measurable results within a single quarter.
Discover
90-minute workshop to align AI/automation with your KPIs.
Pilot
Test solutions in one department — results in 30 days.
Scale
Company-wide rollout with training and support.
Optimize
Quarterly reviews to refine and expand.
Awards & Recognition
Our Blog
We sunset Casetrack to focus where our leverage is highest. Here is what 18 months of running production legal AI taught us.
Casetrack was sunset in April 2026. Sunset is not failure — it is focus. The lessons from 18 months operating production case-management software in front of real attorneys are now powering AppRocket's services-only legal-vertical practice. Here is the honest story.
Why 90 days is the right cadence for AI delivery
Three-month engagement cycles retire risk faster than any other rhythm we have tried. Here is why that shape holds up even as projects get bigger.
Building RAG that actually works in production
Most retrieval-augmented generation systems look great in demos and fall apart in production. Here are the decisions that separate the two.
Ready to Scale with Precision?
Stop cobbling together piecemeal tools. Partner with AppRocket for AI that grows with your ambitions.