Custom AI apps like chatbots, ML models, computer vision, NLP, and more to solve real business problems and unlock growth opportunities.
To help our experts understand your business objectives and create your customized plan.
"Training data arrives late or incomplete, causing models to learn the wrong patterns"
"Predictions confuse users because outputs fail to match real product actions"
"Progress stalls as data science and engineering work on separate schedules"
"Product owners lose confidence once AI results change behavior across screens and flows"
"Launch plans slip as compute cost and response time surface only near rollout"
Hey Hire
We build AI applications around a defined product task. Data flow, logic, and interfaces connect with existing software, resulting in daily usage from day one.
Overcome common business challenges that users face without AI and equip them to solve these challenges with ease and speed.

Disconnected data, models, and product logic slow progress and create rework. A unified AI build brings flow through development and usage.
Raw predictions create hesitation when context stays missing. Applied AI surfaces outcomes in ways people can act on during real work.
Generic interactions feel shallow and fail to hold attention. Purpose-led AI adds relevance at every touchpoint.
Similar features make products blend together fast. Thoughtful AI usage introduces capabilities others can’t replicate.
We study product goals, data sources, and user actions in real settings. This step surfaces practical constraints and real opportunities early.
We map use cases, system limits, and success measures before development begins. Direction becomes stable before effort ramps up.
We create models using real data patterns and expected usage. Behavior aligns with how the product operates in practice.
We run outputs through edge cases, load conditions, and live scenarios. Gaps show up before release pressure builds.
We create AI-driven applications that solve defined operational and product challenges while supporting adoption and adaptability as needs expand.
We build AI apps to test shopper navigation, pricing logic, inventory signals, promotions, and checkout behavior in pilot launches.
We develop cognitive solutions to test intake steps, triage rules, clinician actions, data flow, and compliance handling within controlled environments.
We create decision engines to test verification flows, risk checks, transaction paths, and record handling during regulated pilot programs.
We build early AI applications to test routing logic, timing rules, and operator actions in production environments daily cycles.
We configure analytical platforms to observe listing circulation, inquiry handling, lead qualification, broker activity, follow-up timing, and engagement triggers.
We deploy learning frameworks to track curriculum navigation, assessment flow, progress signals, content access and learner behavior.
We compose execution frameworks to review campaign motion, approval routing, creative exchange, response signals and client alignment.
We orchestrate product intelligence to monitor onboarding paths, feature discovery, adoption signals, interaction patterns, and more.
We choose the right tech by reviewing data paths, system limits, model fit, and release goals, giving the application a setup that supports build, test, and rollout stages.

Jewellery / Ecommerce – Mobile App Development
Needed a scalable jewellery rental application while managing complex rental workflows, credit validation, and identity checks. Required a robust backend to support ecommerce logic and smooth mobile experiences.
Built a scalable backend using WooCommerce, developed a Flutter-based mobile app, and integrated rental workflows with KYC and credit checks—delivering a secure, end-to-end jewellery rental platform.
We leverage our deep expertise, multi-industry experience, an innovation mindset, and a firm commitment to deliver world-class AI solutions.

User engagement rose 48% after personalization logic delivered tailored content
Time to complete key tasks fell 33% once predictive suggestions and automation cut repetitive steps
Crash rates dropped 27% as anomaly detection caught inconsistent inputs
Feature adoption climbed 41% as intelligent onboarding guides reduced learning effort for new users
Support tickets declined 36% with context-aware assistance
Retention improved 22% after anticipating user needs and suggesting next actions

“Very pleased with the results from the ProdBrew team. We will continue building with them in the future. Highly recommend!”Chris Riley, Owner, Acme Studio
“ProdBrew has become my go-to team for both MVPs and complex builds. Their detailed questions and smart pushback help avoid feature creep, making them a reliable long-term product partner.”Sundar Ganesan, Business Head, Caratlane
“The ProdBrew team has been excellent to work with—always a step ahead in development and quick to respond. Their post-launch support is exceptional, and we're excited to keep building more great things together.”Andreas Papadopoulos, Administration
Straightforward answers to the questions usually asked at this stage.