Case studies
Production AI across many industries.
Every project below shipped. Where numbers appear, they are representative of the engagement; ask us for the reference call.
What kind of AI work does extendfuture do?
Production AI systems for funded startups and mid-market companies: agentic workflows, managed AI workflows, computer vision, voice agents, document intelligence, AI product features and human-in-the-loop operations. Every case below shipped; for confidential engagements we walk qualified buyers through architecture and numbers on a call.
23 case studies
Transcription quality at scale for financial research
Accuracy held to editor standard, at production scale
Voice AI interviews for high-volume hiring
Screening that keeps pace with applications
AI matching and compliance checks for a care marketplace
Matching and compliance checks, built into the marketplace
Motor-controller configuration in the browser
Configure and tune a motor from one browser tab
Instant biometric onboarding
Two days to eight minutes
FRIDAI, voice assistant for gamers
Hands-free help at play speed
Movement intelligence: smart athletic wear and camera-based physiotherapy
Injury risk and form, read in real time
Facebot, AI with a human face
A persona customers talk to
Grain classification
Lab-grade QC from a photo
Skin analysis and advisory
Selfie to skin age in under a minute
Predictive sales analytics
Forecasts the team believed
Needs-based advisory engine
Advisory sessions, fully automated
Supplier documents to purchase orders
Invoices and catalogs turned into orders, without retyping
Anti-money-laundering program generator
Compliance programs drafted from a business's own answers
Authenticity screening for recorded interviews
Doubtful answers flagged for a person to judge
Prepaid utility payments over mobile money
Water and power credit bought from a phone
Property documents to buyer reports
Building records turned into a report a buyer can read
A digital therapist on WhatsApp
Guided support in the app people already use
App recommendations for a mobile app store
Recommendations for about 200M mobile devices
Sensor data cleaning for water networks
Network telemetry cleaned before anyone acts on it
An advisory agent for smallholder farmers
Farm guidance by phone, inside a development program
An engineering KPI engine for a developer-productivity product
Delivery health read from the tools teams already use
A health-risk assessment chatbot
A health questionnaire turned into a conversation
Recent work is under NDA. Every case is described without client names, and some of it is not shown at all.
Want the war stories?
We will walk you through the builds that map to your problem, including the parts that went wrong and what they taught us.