Data & AI Platforms in San Jose, CA | IoTree Minds
The California Theatre marquee in downtown San Jose, beside a jacaranda tree

San Jose, CA · Data & AI Platforms

Data and AI platforms for San Jose businesses

Data platforms and ML for San Jose companies, from wafer and test data to device telemetry, built for scale and secure by design.

Clients

Trusted by government and industry

  • Asterix Energy
  • Aqozone Industries
  • Cuarzo
  • Fresher Profiles
  • Gill Instruments
  • Government of India
  • Government of Karnataka
  • Karnataka State Co-operative Agricultural and Rural Development Bank
  • Karnataka State Pollution Control Board
  • Gift Links
  • ShubhKalyan
  • Shreeraj Gifts
  • Try Giraffes
  • Tekpro
  • RapidMindPower

Data & AI Platforms in San Jose

Data from wafer to field

San Jose sits at the heart of Silicon Valley's hardware economy: chip designers, equipment makers, networking and enterprise software companies. Engineering knowledge is the core asset here, and much of it is subject to export controls.

Phone on a side table showing the smart home app with room, light, fan and curtain controls, in a bright living room
Case study

Home automation brand, Australia

IoT and Automation

Built the app behind a new smart home product line, from simple switches to 32-channel relay boards.

Up to 32 channelson one relay board

Alexa and Googlevoice control built in

Read case study for Home automation brand, Australia
  • One app for relay boards, curtain motors, fans and dimmers
  • Voice control with Alexa and Google Assistant
  • Fast, reliable device control over MQTT
Tablet on cream linen beside green and gold wrapped gifts, showing the catalog builder with six gifts selected
Case study

Corporate gifting company

Ecommerce And Retail

Replaced manual catalog work with a portal and apps where customers build their own gift catalogs.

BeforeCatalogs made by handin a competitor's app, hiding its watermark

AfterCustomers build their ownpick products and share a personalised catalog

Read case study for Corporate gifting company
  • Customers pick products and share their own catalogs
  • A faster ecommerce portal in place of the old, slow one
  • Android and iOS apps for partners and customers
Laptop on a tailor's table among maroon and mustard fabric, showing the order board from measurement to ready
Case study

Family textile business

Textile Industry

Moved a third-generation textile business from paper to one system for orders, inventory and delivery.

BeforePaper registersorders and stock kept by hand

AfterOne live systemevery order tracked to delivery

Read case study for Family textile business
  • Orders tracked from measurement to delivery
  • Live fabric inventory to plan for peak-season demand
  • Customer records kept in one place
Laptop on a steel workbench in a factory, showing the live machine monitoring dashboard
Case study

Electronics manufacturer

Data Analytics

Turned live machine data into a dashboard that shows run time, temperature and service needs as they happen.

Live readingson-time, temperature and service for every machine

AWS IoTsecure link from machines to the cloud

Read case study for Electronics manufacturer
  • Live data from every machine over AWS IoT
  • Run time, temperature and service intervals on one screen
  • Trends that help plan maintenance early
Laptop showing the community admin portal with a phone beside it showing a scheduled advisory message
Case study

Advisory services company

Community Building

Built a WhatsApp platform that keeps advisory communities informed and engaged.

Many communitiesrun from one web portal

Live or scheduledmessages and campaigns that keep members engaged

Read case study for Advisory services company
  • Send messages live or on a schedule
  • Run regular campaigns across many communities
  • Manage every community from one web portal
Phone on a hotel bedside table showing Room 204 controls for lights, fan, AC and water heater, beside a brass room key
Case study

Hotel automation maker

Hotels and Restaurants

Gave small hotels and lodges smart rooms that guests control from their phone.

BeforeSwitched by handlights often left on after guests leave

AfterFrom the guest's phoneand switched off when the room is empty

Read case study for Hotel automation maker
  • Guests control room devices by app or web link, no download
  • Access ends automatically at checkout
  • Sensors switch off lights when the room is empty
Phone on a bedside table at dusk, showing the audio track library beside headphones, a candle and lavender
Case study

Life coach with global clients

Psychology

Replaced emailed audio files with an app where clients buy and keep their therapy tracks.

3 yearsin use with clients worldwide

Android and iOSin many languages and currencies

Read case study for Life coach with global clients
  • Clients buy and play their tracks in one app
  • Purchased tracks stored safely, never lost
  • Multiple languages and currencies for clients worldwide
Laptop on a teak desk in a heritage bank office, showing the branch accounting dashboard beside old ledgers and a brass lamp
Case study

Co-operative Bank, Karnataka

Banking Services

Moved a 100-year-old bank from paper ledgers to one digital system across 25 branches.

100 yearsof paper records moved to digital

25 branchesrunning on one system

Read case study for Co-operative Bank, Karnataka
  • Customer accounts, loan ledger and FD interest schedules in one system
  • Journal records and branch reports from all 25 branches
  • Balance sheet and P&L statements ready to export

Where it fits

Where San Jose teams use it

Semiconductors

Yield analytics

Find the causes of yield loss faster.

  1. 1Joins fab and test data
  2. 2Finds yield patterns
  3. 3Alerts engineers
Hardware and devices

Field telemetry analytics

Spot failing devices before customers do.

  1. 1Streams device telemetry
  2. 2Predicts failures
  3. 3Triggers proactive support

Have a use case like these?

Tell us what your team does by hand today, and we'll show you how we would approach it.

Book a free consultation

What we build

What our data and AI platform work covers

Data Engineering & Pipelines

Modern data pipelines, warehouses and lakehouses that bring data from across the business into one reliable, well-modelled place.

Predictive & Visual AI

Machine learning for forecasting, scoring and anomaly detection, and computer vision that turns images and video into decisions.

MLOps, Security & Governance

The tooling and practices to deploy, monitor and govern models safely, from versioning and drift alerts to access control and audit.

Built for California rules

Regulations we design around

Semiconductor and hardware makers

Export controls

Controlled technical data kept away from tools and people it may not reach.

Businesses handling Californians' data

CCPA / CPRA

Notice, opt-outs and data minimisation for personal data AI uses.

California businesses using AI for significant decisions

CPPA ADMT rules

Risk assessments, pre-use notices and opt-outs for automated decisions.

Working together · Pacific Time

Working with us from San Jose

Your early morning is our late evening, so we meet live as your day starts and build while you sleep.

  1. 7–9 AM PT Live call Review progress and make decisions together
  2. Your working day Your feedback Your team tests and comments in writing
  3. Overnight PT We build Progress is ready for your next morning

Want to see how a week with us would look?

Tell us your hours and your project, and we'll plan the live time around your day.

Send your requirements

How we work

From first conversation to production

  1. 1

    Audit

    We map your data sources, flows, owners and quality issues.

  2. 2

    Architect

    We design a platform that fits your cloud, scale and budget.

  3. 3

    Build

    We deliver pipelines, models and dashboards in working increments.

  4. 4

    Operate

    We set up monitoring, alerts and governance your team can run.

Get a clear plan for your project

A free consultation, then a written estimate of scope, timeline and cost.

Book a free consultation

Testimonials

What our clients say

Divya Nahar Beyyond Rocks & Cuarzo
Vinay SV Cofounder, Thinkfinity Labs
Vincent D'Souza Cofounder, Tekpro Cloud
Wilfred Stanley Founder, Rapid Mind Power
Santhosh CEO, Appisode

FAQ

Questions from San Jose teams

Ask us something else
Can you work with very high-volume test data?

Yes. We design partitioned storage and efficient pipelines so large test datasets stay fast to query and affordable to keep.

What is MLOps?

MLOps is the set of practices and tools for deploying, monitoring and updating machine learning models reliably, much as DevOps does for software. It keeps models accurate as data changes.

Which cloud platforms do you work with?

We work with the major cloud providers and with on-premise environments, and design the platform around the tools and contracts you already have.

Do we need a data platform before starting with AI?

Not always. We often build the data foundations a specific AI use case needs first, then extend the platform as more use cases follow.

Get in touch

Tell us your requirements

Share what you'd like to build or automate. We'll reply by email to set up a free consultation.

  • Free consultation, no commitment
  • Talk to the people who will build it
  • Your details stay with us