// est. 2020 — a senior engineering studio, US & India

Build AI products that make it to production.

Pixy Coders helps startups and enterprises design, build and operate AI agents, LLM applications, mobile apps and scalable cloud platforms — from prototype to reliable production.

{ what you get }

Outcomes first. Technology second.

We measure our work by what it changes for your business, not by the frameworks involved.

Automate operational workflows with AI agents that handle real tasks under human oversight.

Add reliable LLM features grounded in your private company data, with traceable sources.

Launch production-quality mobile products — not prototypes that stall before release.

Modernize cloud infrastructure with repeatable deployments and controlled cost.

Improve security, observability and scalability as design inputs — not afterthoughts.

{ services }

Six ways we help teams ship.

Every engagement covers strategy, architecture, code and operations — end to end.

// 01

AI Agent Development

Manual workflows eat team hours, and rule-based automation breaks on real-world edge cases.

Agents that complete real work — support, operations, research — with humans in the loop where it matters.

  • Agent design, tool & API integration
  • Evaluation suites and monitoring
  • Guardrails and human-approval flows
Claude · GPTMCPmulti-agent
AI agent development
// 02

LLM Integration & RAG

Generic chatbots answer from the internet — not from your data — and get things wrong.

LLM features grounded in your documents and systems, designed to reduce hallucinations.

  • Retrieval pipelines and vector search
  • Prompt & context engineering
  • Evaluation and quality monitoring
RAGvector DBsembeddings
LLM & RAG integration
// 03

Mobile App Development

App projects stall in the gap between a demo and a release users can rely on.

Android & iOS apps shipped at production quality, with the release pipeline to keep them updated.

  • Native Kotlin or cross-platform builds
  • Offline-first data and sync
  • Store release, CI and crash monitoring
KotlinFlutteron-device AI
Mobile development
// 04

AI Security & Guardrails

AI features introduce new risks: prompt injection, data leakage, unpredictable output.

AI you can put in front of customers — tested, guarded and observable.

  • Guardrail design and output filtering
  • Red-team review of AI features
  • Evaluation and abuse monitoring
prompt-injection defenseevals
AI security
// 05

Cloud & DevOps

Deployments are manual, environments drift, and the cloud bill creeps upward.

Repeatable infrastructure with CI/CD, observability and cost kept in check.

  • Infrastructure as code
  • Pipelines, monitoring, alerting
  • Cost and reliability reviews
KubernetesDockerTerraform
Cloud & DevOps
// 06

Data & Scalable Architecture

Systems that worked at launch strain as data volume and traffic grow.

Architecture that scales without a rewrite — designed for the load you'll have, not just today's.

  • System design and review
  • Event-driven services and streaming
  • Data pipelines and storage design
event-drivenPostgreSQLstreaming
Data & architecture
{ case studies }

Products we've built and run.

LIVE — vaztu.com

Vaztu

// find a home you can trust

The problem: property search in India runs on stale photographs, duplicate and bait listings, and broker chains that keep buyers away from the actual owner.

The product: a mobile-first platform where homes are discovered as short video reels, listings are RERA-verified with legally-checked documents, and buyers talk to owners directly — no brokers in between.

  • Real video tours — every home is a short, scrollable reel
  • RERA-verified listings with ownership documents checked
  • Ask Vaztu AI — plain-language search with hyperlocal ranking
  • Owner-direct chat and in-app site-visit booking

⟳ Android app in development

{ process }

From idea to production, without the drag.

You see progress continuously: regular demos, written architecture decisions, evaluation results and deployment documentation at every phase.

phase 01

Discover

We map your goals, users and data — and find where AI actually moves the needle.

// you get
  • Scoped goals & success metrics
  • Feasibility assessment
  • Delivery plan & estimate
phase 02

Architect

System design first: models, data flows, infrastructure and security decided before code.

// you get
  • Architecture document
  • Model & tooling decisions
  • Security & data plan
phase 03

Ship

Working software in short cycles — demos every week, evaluations on every release.

// you get
  • Regular working demos
  • Evaluation results
  • Deployment documentation
phase 04

Operate

Monitoring, scaling and iteration after launch — we run what we build, or hand it over cleanly.

// you get
  • Monitoring & alerting
  • Operational support
  • Handover & documentation
{ about }

A senior studio, not a staffing agency.

Pixy Coders has been building software since 2020, across the United States and India. We stay small and senior on purpose.

Senior engineers, hands-on

The people who scope your project are the people who build it. No hand-offs to a rotating bench.

Architecture-first

Operations, security and cost are design inputs from day one — not problems for later.

Built for ownership

Documented systems your team can run and extend. You own all code and IP, always.

US + India delivery

Overlapping working hours with US teams, with engineering depth in Kochi, India.

{ engagement models }

Ways to work with us.

// short & fixed scope

Discovery & architecture sprint

A focused sprint that turns an idea or problem into a validated plan: scope, architecture, risks and estimate.

// build

MVP or product build

A complete product built end-to-end — design, engineering, AI, infrastructure and launch.

// integrate

AI feature integration

Agents, RAG or LLM features added to your existing product, with your team and codebase.

// modernize

Cloud modernization

Move from manual deployments and drifting environments to repeatable, observable infrastructure.

// ongoing

Engineering & operational support

Continued development, monitoring and iteration after launch — we stay accountable for what we ship.

{ faq }

Common questions.

How do projects usually start?

With a 30-minute call to understand your goals. Most engagements then begin with a short discovery and architecture sprint that produces a concrete plan, before any larger build is committed.

Do you sign NDAs?

Yes. We're happy to sign your NDA before any detailed discussion of your product or data.

Who owns the code and IP?

You do. All code, infrastructure configuration and documentation produced during an engagement is handed over to you, with a walkthrough so your team can own and extend it.

How do you keep LLM features reliable?

We ground responses in your own data, add guardrails against prompt injection and unsafe output, and run evaluation suites on every release. These practices are designed to reduce hallucinations and catch regressions before your users see them.

Can you work with our existing team and codebase?

Yes. Alongside full product builds we do architecture reviews, AI feature integration into existing products, and ongoing engineering support inside your repositories and processes.

Where is Pixy Coders located?

We operate from Tracy, California in the US and Kochi, Kerala in India — remote-first, with overlap across US and Indian time zones.

{ contact }

Book a 30-minute project call.

Tell us where you're headed. A short call is enough to give you an honest read on feasibility, approach and rough effort — no decks, no obligation.