Plasma Systems — Engineering Company

Engineering intelligent systems for real-world operations

Automation, software, and operational infrastructure for businesses that need fewer manual steps and cleaner execution.

Saarthak Agarwal Founder / Systems Engineer
Bengaluru, India Software · Automation · Embedded Move your cursor over the core ● 4 active systems
02 — Capabilities 6 modules

Systems we engineer

Not templates. Not demos. Working systems — designed, built, and maintained like infrastructure.

M·01

AI Agents

Autonomous workers that read, decide, and act inside your tools — quoting, triaging, following up while you sleep.

M·02

Web Platforms

Fast, precise web platforms engineered for clarity and performance — built from the ground up.

M·03

Internal Dashboards

One screen for the numbers your team checks twenty times a day — live, accurate, and yours.

M·04

WhatsApp Automation

Orders, support, and follow-ups handled where your customers already are — without a human copy-pasting.

M·05

Order & Inventory Systems

Stock, billing, and fulfilment that reconcile themselves. No midnight ledger sessions.

M·06

Custom Workflow Tools

Purpose-built software for the process only your business runs — the one no SaaS will ever ship.

03 — Systems under deployment 4 active systems

Systems under deployment

Live engineering work — systems currently being built, tested, and deployed in real operations.

In production P-01

BM OPS

Internal operations platform for wholesale and retail businesses — orders, inventory, billing, and reporting in one system of record.

FastAPIPostgreSQLReactOCR
Field deployment P-02

WhatsApp Order Agent

Converts unstructured customer messages into structured orders and invoices — parsing items, quantities, and customer records automatically.

LLM AgentsWhatsApp APINodePostgres
Flight-tested P-03

Autonomous Delivery Winch

Embedded control firmware and deployment systems for drone logistics — motor control, state machines, and flight-computer integration.

STM32FOCCAN BusLua
Active R&D P-04

AI Reporting Engine

Generates operational insights and business reports automatically — from raw transaction data to decision-ready summaries.

PythonLLM PipelinesPostgresSchedulers
04 — Why it matters Output deltas

What changes when the system runs itself

Δ Effort

Less manual work

Hours of repetitive typing, forwarding, and reconciling compressed into a trigger.

Δ Speed

Faster operations

Quotes, confirmations, and dispatches in minutes — not whenever someone gets to it.

Δ Service

Better customer handling

Every enquiry answered, every order acknowledged, every follow-up sent. On time, every time.

Δ Truth

Cleaner data

One source of record instead of five spreadsheets and three people's memory.

Δ Scale

More scalable processes

Double the orders without doubling the headcount. The system absorbs the load.

05 — Founder Field-tested

Built by an engineer

Saarthak Agarwal — Founder / Systems Engineer

The discipline of physical systems, applied to software.

Saarthak Agarwal is an R&D and Systems Engineer working across autonomous drone systems, embedded firmware, control systems, robotics, and internal operations software. In that world, failure isn't a bug ticket — it's a crash. Plasma Systems applies the same engineering discipline to business software: validated under real load, documented, and built to keep running when nobody's watching. Reliable systems, not demos.

E·01

Embedded systemsBare-metal firmware, state machines, watchdogs — software that can't afford to hang.

E·02

Autonomous dronesFlight integration, mission logic, and cycle testing on real airframes.

E·03

Control firmwareMotor control, sensor feedback, and CAN-bus telemetry under hard timing constraints.

E·04

Operations softwareOrder, inventory, and billing systems running daily in live businesses.

E·05

Automation infrastructureQueues, schedulers, and agents that keep working without supervision.

06 — System stack 6 layers

Every system, assembled layer by layer

Each build is composed from the same hardened layers — configured for your operation, not copy-pasted from the last one.

Layer 01

Frontend

React · Next.js
Interfaces people actually use

Layer 02

Backend

FastAPI · Node
APIs, auth, business logic

Layer 03

AI

LLM agents · Vision
Reading, deciding, acting

Layer 04

Database

Postgres · Supabase
One source of truth

Layer 05

Automation

Queues · Crons · Events
Work that runs itself

Layer 06

Integrations

WhatsApp · Sheets · ERPs
Wired into your tools

07 — Case study Before / After

From WhatsApp orders to automated operations

A real deployment: a trading business running entirely on chat messages and memory, re-engineered as a clean digital pipeline.

State 0 // Manual chaos

How it ran before

Orders arrive as voice notes and half-typed messages
Stock levels live in two people's heads
Invoices written up at midnight, by hand
Follow-ups happen if someone remembers
Month-end means three days of reconciliation
After — running system

How it runs now

01 — Message in

Customer sends an order on WhatsApp, like always.

02 — Order parsed

An AI agent extracts items, quantities, and the customer record.

03 — Inventory checked

Stock verified live; shortages flagged before anyone promises anything.

04 — Invoice issued

GST-ready invoice generated and sent back in the same chat.

05 — Ledger updated

Every order lands in one database. Month-end takes minutes.

~90%Less manual entry
MinutesOrder → invoice
1Source of truth
0Midnight ledgers
08 — Start

Let's build the system

If there is a repetitive process, operational bottleneck, or workflow slowing your business down, we can engineer a system around it.

PLASMA SYSTEMS