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How We Work
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Full-stack AI engineering, in-house

AI that does real work.Built by real AI engineers.

We build the system that runs your most expensive workflow — production in weeks, handed over in full.

  • Automation & RPA
  • AI agents
  • Computer vision
  • Forecasting & ML
  • RAG & knowledge
  • Conversational AI
Start a projectSee what we build
DiscoveryScoped buildProductionFull handover
Full handoversource code, models, and infra config — transferred to you
Production-firstbuilt to run your operation, not demo it
One teamdata pipeline to interface — no vendor handoffs
Straight answerswe'll say when AI isn't the right tool

Built to plug into the tools you already run

ShopifyWooCommerceStripeHubSpotSalesforceSlackQuickBooksShopifyWooCommerceStripeHubSpotSalesforceSlackQuickBooksShopifyWooCommerceStripeHubSpotSalesforceSlackQuickBooksShopifyWooCommerceStripeHubSpotSalesforceSlackQuickBooks
ZapierWhatsAppGoogle WorkspaceMicrosoft 365ZendeskNotionTwilioZapierWhatsAppGoogle WorkspaceMicrosoft 365ZendeskNotionTwilioZapierWhatsAppGoogle WorkspaceMicrosoft 365ZendeskNotionTwilioZapierWhatsAppGoogle WorkspaceMicrosoft 365ZendeskNotionTwilio

Representative — we build integrations to the systems you already use.

The Problem

You Don't Need Another AI Pilot.
You Need a System That Runs.

The gap between “AI could help us” and “AI is running in production” isn't a technology gap. It's a systems gap. Models are easy. Complete, working products are hard.

88%

of enterprise AI pilots never reach production

Source: IDC, 2024

The Pilot Graveyard

Your team built an impressive model. But nobody built the data pipeline to feed it, the infrastructure to serve it, or the workflows for when it's wrong. A model without a system is a science experiment.

10x

more cloud compute paid for than actually used

Source: Cast AI, 2025

The Infrastructure Trap

Someone said you need GPU clusters and a Kubernetes setup. Your cloud bill exploded. The model still sits in a notebook. Production AI doesn't need enterprise hardware. It needs intelligent architecture.

47,000+

AI tools on the market — still none built for you

Source: There's An AI For That, 2026

The Off-the-Shelf Illusion

You evaluated SaaS tools. None fit your exact workflow. Off-the-shelf AI is built for everyone. Intelligent systems are built for YOU — your data, your processes, your competitive edge.

You don't need a model. You need a complete AI product. That's what we build.

What We Build

Real Work, Done — Not Another Demo

From automating the back office to shipping a full product, we pick the right technique for the problem — and tell you when AI isn't the answer.

WHERE MOST TEAMS START

AI Automation & RPA

The repetitive back-office work that eats your team's day — intake, data entry, invoices, follow-ups, reconciliation — handed to software that reads, decides, and acts.

Back-office work that finishes itself — accurately, around the clock

Scoped per process

We combine RPA for the fixed, rules-based steps with AI for the parts that need reading and judgment, then keep a human in the loop on the exceptions. The whole workflow runs on your infrastructure and is handed over to you.

  • An end-to-end automated workflow for a high-volume process
  • RPA for the deterministic steps, AI for the reading-and-judgment steps
  • A human-in-the-loop review queue so exceptions get a person
  • Integration with the tools you already run — no per-seat automation fees
View AI Automation & RPA
Learn more

AI Agents & Agentic Automation

For work with many steps, branches, and judgment calls — an agent given the goal that reads, decides, uses your tools, and hands off to a person exactly where it should.

Whole jobs carried to done — not isolated tasks

Scoped per job

A real agent earns the name by finishing a multi-step job with tool use and judgment, not a chatbot in a trench coat. Guardrails limit what it can do, confidence thresholds force a handoff, and a full trace makes every decision auditable.

  • AI agents scoped to a real job in your operation
  • Tool and system access so agents act, not just advise
  • Defined handoff points — agents escalate to a person on low confidence
  • A full decision trace for every run — owned by you
View AI Agents & Agentic Automation
Learn more
FLAGSHIP

End-to-End AI Product Development

Complete AI products — data pipeline to interface — shipped to production under your brand. Whatever the problem needs: vision, forecasting, agents, or a language model.

A working product serving real users — not a slide-deck demo

Fixed timeline

Full-stack development: data engineering, models, backend, APIs, and frontend, with the right technique for the problem rather than the trendy one. Built on your infrastructure, and you own 100% of the code, models, and documentation.

  • A full-stack AI product: data + models + backend + APIs + interface
  • The right technique per problem — vision, forecasting, agents, or LLMs
  • Production deployment with monitoring and improvement loops
  • 100% of the code and models handed over, yours to keep
View End-to-End AI Product Development
Learn more

AI Strategy & System Design

Before a line of code, we map your operation, score the opportunities by ROI rather than hype, and design the complete system — including an honest "don't build this" when that's the truth.

A costed, ranked build plan — so you commit budget with your eyes open

Agreed up front

A fixed, focused engagement that maps every relevant manual process, scores AI opportunities by real ROI, and delivers a complete system architecture and a "build this first" recommendation. It's self-contained and yours to keep.

  • A full operations audit — every relevant manual process mapped
  • AI opportunities scored by ROI, not hype
  • A complete system architecture with data-flow design
  • An honest verdict — including "don't build this" when that's the truth
View AI Strategy & System Design
Learn more
The engineering underneath
Computer VisionCatch what human inspection misses — on the cameras you already have.Forecasting & Machine LearningKnow what you'll sell, staff, and stock next month — and order against it.Knowledge Systems & RAGAnswers from your own documents — cited, access-controlled, never made up.Lightweight AI InfrastructureEnterprise-grade AI on modest hardware — deployed lean, owned entirely by you.
Explore all servicesSee what we build
Our Process

From First Call to a Working Product

A clear, repeatable process designed to get you from problem to production — not pilot to shelf.

1
Week 0

Discovery & System Thinking

You tell us the problem. We map the full picture — not just "where can AI help" but what the complete intelligent system looks like.

Problem map + feasibility assessment
2
Week 1

Architecture & Scope Lock

Complete system design: data pipeline architecture, AI model approach, infrastructure plan, user workflow, and deployment strategy.

Clear scope, timeline, and plan
3
Weeks 2–6

Build the Full System

We build all layers in parallel — data, intelligence, infrastructure, interface. Weekly demos of the system working end-to-end.

Working system with weekly demos
4
Weeks 6–8

Deploy, Integrate & Handoff

Live in production. Serving real users. Monitoring active. Full documentation. Your team can maintain and extend the system after we leave.

Production system + full documentation

You own the complete product. Code. Models. Data pipelines. Infrastructure. Everything. We walk away. Your AI product keeps running.

What We Can Build

Intelligent Systems We Build

Not features. Not models. Complete products and systems.

Document Intelligence

Read, extract, verify, and route documents — handling the bulk automatically, routing only uncertain cases to a human.

Designed to take the same team from hours of manual review to far higher throughput.

Operational Intelligence

Connect data sources, predict outcomes, automate decisions in real time.

Built to surface the hidden operational waste that spreadsheets miss.

Customer Intelligence

AI that handles interactions, predicts churn, and personalizes — in any language.

Built to resolve routine support end-to-end — not just deflect it — and flag churn early.

Web & App Products

Complete web apps and sites with intelligence built in — fast, scalable, under your brand.

Real products, not templates — handed over as your product.

See use cases
Industries

Built for Teams That Need Real AI — Not AI Theatre

We build for SMBs and mid-market teams who've tried the pilots, evaluated the tools, and are ready for a complete AI product that actually runs.

Real Estate & Brokerages

First responder wins the lead and every deal has 30 deadlines. Automate the follow-up and the contract-to-close chase.

Legal & Law Firms

The billable hours lost to intake, document review, and unbilled time are the ones you never get back.

Accounting & Bookkeeping

The client-document chase and month-end close eat the hours you'd rather spend on advisory work.

Logistics & Freight

Quotes sit in an inbox and paperwork gets rekeyed by hand while the load ages. Automate the ops grind.

Insurance Agencies

Submissions, renewals, and claims bury your team in ACORD forms and loss runs. Let the paperwork prep itself.

E-Commerce & D2C

Your support, returns, and retention problems are connected. Your automation should be too.

Construction & Contractors

Scope gaps priced into bids and paperwork stalling jobs cost more than any single mistake on site.

Healthcare & Hospitals

Clinicians lose hours a day to paperwork and claims get rejected on avoidable errors. One system addresses both.

Explore all industries
Why Us

Why build your AI products with us

In-house engineers, end to end

End-to-End, Not Piecemeal

We don't deliver a model and wish you luck. We build the complete system: data pipelines, AI models, infrastructure, user interfaces, monitoring, and feedback loops.

You Own the Complete Product

Code, models, data pipelines, infrastructure, documentation. Deployed on your servers. Under your brand. No vendor lock-in. No platform fees.

Lightweight by Design

We build AI that runs on modest infrastructure — not because we can't build complex systems, but because your margins matter more than architectural vanity.

Built Past the Pilot

Prototypes and proofs of concept are how we de-risk a build — they're a stage, not the deliverable. Every engagement is scoped to end with a working system in production, serving real users.

We Say No

If you don't need a custom AI product, we'll tell you. If a SaaS tool solves your problem, we'll recommend it. We'd rather lose a deal than build something that fails.

Systems That Outlive Us

Anything we build is designed to be maintained by your team after we hand it off. Full documentation. Clean architecture. Knowledge transfer.

Questions We Get Asked

Do you only build AI features, or full products?

Full products. End to end. We design and build complete AI systems — from data pipeline to user interface to production infrastructure. We also build intelligent features for existing products. The scope depends on your problem — but we always deliver a working system, not a standalone model.

How is this different from an AI consulting firm?

Consulting firms deliver strategy documents and recommendations. We deliver working products in production. We do the strategy AND the build AND the deployment — end to end. You don't need to hire someone else to implement what we recommend.

What if we already have an AI model but need the system around it?

That's common. Many teams build great models but have no data pipeline, infrastructure, or user workflow around it. We take existing models and build the complete production system — data engineering, APIs, error handling, monitoring, interfaces.

What if we don't know what AI product we need?

That's what the Strategy & System Design phase is for. We start with a focused deep dive into your operations, map the opportunities, and architect the system. You'll know exactly what we'll build, why, and what it will cost — before development starts.

Do we need clean data?

We work with the data you have. Part of our process includes building the data pipeline — cleaning, structuring, and connecting your data sources. If your data is a mess (most is), we handle that as part of the system build.

What happens after the product is built?

You own everything — code, models, pipelines, infrastructure, documentation. Your team maintains and extends the product. We provide thorough documentation and a handoff session. If you need ongoing support, we offer retainer arrangements.

Can you build AI products that work in Indian languages?

This is one of our core strengths. We build AI systems that process Hindi, Tamil, Telugu, Marathi, Arabic, and other languages natively — not through translation layers. The AI thinks in the user's language.

What's the difference between an "AI feature" and an "AI product"?

An AI feature is one capability (e.g., "add AI search to our app"). An AI product is a complete system with multiple connected capabilities, data infrastructure, user workflows, and production operations. We build both — but the real value is in connected systems where capabilities compound.

Get Started

Ready to Build?

Book a free 30-minute AI Readiness Review. We'll map your opportunity and tell you exactly what's possible — and what isn't.

Written system recommendations included with every call
1Tell us about your business (10 min)
2We identify where intelligent systems create value (15 min)
3You get a written summary with recommendations (5 min)

No pitch. No commitment. If you don't need a custom AI product, we'll say that.

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AI automation, agents, computer vision, and forecasting — built to production for growing businesses and handed over in full: code, models, and documentation.

info@plenaura.com

A-13, Graphix Tower-2, Sector 62, Noida, Gautam Buddha Nagar, Uttar Pradesh 201301, India

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