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