Official Recognitions
Afloton Private Limited is formally accredited by the Government of India and the Government of Uttar Pradesh as an innovative technology and software pioneer.
Startup India Recognition
Ministry of Commerce & Industry • Dept. for Promotion of Industry and Internal Trade
Officially certified under Startup India framework for proven excellence in IT Services and high-performance Application Development.
Start In UP Registration
Department of IT & Electronics • Uttar Pradesh Electronics Corporation Ltd. (UPLC)
Recognized under Uttar Pradesh Startup Policy as an eligible innovative company headquartered in Uttar Pradesh, India.
Partner With An Accredited Pioneer
Backed by Government recognition, we collaborate with angel investors, VC funds, and enterprise partners.
Our Superpowers
From pixel-perfect games to robust AI backends, we handle the complex stuff.
The Afloton Toolbox
Next-Gen Architecture
Click any architectural module below to inspect its live code kernel, latency, and thread metrics in real time.
Neural AI Behavior Engine
Sub-millisecond machine learning agent decision trees & prediction matrices.
Low-Latency Socket Matchmaker
High-frequency Rust UDP stream processing with zero-copy packet routing.
C++ Cross-Platform Core
Local-first AES-256 encrypted SQLite storage engine with zero cloud telemetry.
Sumi-e & HLSL Shaders
Hardware accelerated custom Japanese ink wash and real-time ray tracing shaders.
// Afloton Neural AI Agent Logic
#include <afloton/neural_tree.h>
void UpdateBehaviorTree(AgentState& state) {
auto decision = NeuralEvaluator::Predict(state);
if (decision.confidence > 0.98f) {
state.ExecuteAction(decision.action);
}
}
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Our Creations
Discover our ecosystem of mobile apps, games, and dedicated desktop & OS software for Windows, Mac & Linux.
TX - APPS
Native Mobile Productivity & Utility Software
PrivNotes
Secure, local, and encrypted note-taking. The simplest way to keep your thoughts safe.
PanchangCalendar
Experience the most comprehensive Hindi Panchang Calendar with daily Tithi, Nakshatra, and Muhurat updates.
PrivNotesPro
Premium, ad-free, and 100% offline note-taking and sketching. Military-grade encryption for your thoughts.
TX - GAMES
Interactive Gaming & High-Fidelity 3D Engines
Cockroach Runner
Dodge flying slippers, collect coins, and survive the hilarious Roach Rebellion in this retro endless runner!
Shadow Ronin
Path of vengeance rendered in traditional Japanese ink wash (Sumi-e) paintings. Slash shadow enemies and restore honor!
TX - DESKTOP & OS SOFTWARE
Dedicated High-Performance Runtimes for Windows, Linux & macOS
PrivFinancer.ai
The On-Device, Privacy-First AI Chief Financial Officer for Next-Gen Digital Finance. Sub-second bank SMS regex parsing, quantized local SLM advisory, and guaranteed 0.00 KB network egress.
Personal Financial Sovereignty Without Cloud Vulnerability
Traditional finance apps send sensitive banking SMS alerts and transaction records to centralized cloud servers. PrivFinancer.ai decouples intelligence from the cloud: deterministic regex extraction and an edge Small Language Model run 100% locally on user hardware.
PrivFinancer Flagship Interactive Showcase
Afloai Dual On-Device Copilot (2.4B Core & 11B Vision)
PrivFinancer runs two quantized models natively on client silicon: 2.4B Core for sub-second banking SMS intercept (<1.2GB RAM) and 11B Vision for deep multi-year wealth modeling & portfolio stress-testing. Both 100% offline with zero cloud egress.
Aflo • Your On-Device AI
Private Companion • Fast 2.4B CoreA Day in Ravi's Life: The Psychology of Overspending
Ravi (28, Software Engineer) just received his monthly salary. Frictionless UPI taps and misleading bank SMS alerts create an illusion of wealth that leads straight to a month-end rent crisis. Experience how Aflo's on-device SLM averts the disaster in under 20 milliseconds.
"I have ₹25,000 in my account! It's Friday night, I have plenty of cash to spend freely."
The Paper Illusion: Looks Safe, but 80% is Committed
Ravi checks his banking app on payday. His account shows a headline balance of ₹25,000 ($300). He feels flush with cash. But with Rent (₹15,000) and Child School Fees (₹5,000) due in 4 days, 80% (₹20,000) of his money is already spoken for.
One Click Siphons 60% of His True Spendable Buffer
One evening, Ravi buys a non-essential impulse gadget online for ₹3,000 ($36). Frictionless UPI instant payment. No logging, no thinking, zero immediate feedback.
True Spendable Cash instantly plunges: ₹5,000 → ₹2,000 remaining!
In a fraction of a second, his financial safety net evaporates.The Bank's Blind SMS: A False Sense of Wealth
Seeing ₹22,000 sitting in his bank gives Ravi false security. He thinks "I still have ₹22,000—plenty of cash!" and forgets the ₹20,000 in rent and fees due in 4 days.
PrivFinancer's Sovereign Save: Crisis Averted
Today’s digital-finance experience creates four connected problems.
Everyday users and businesses have no affordable financial advisor. Turning to general cloud AI creates severe privacy leaks and dangerous advice because cloud models have zero access to complete, real-time transaction data. PrivFinancer solves this on-device.
1. No Affordable Financial Advisor for Common People
Certified human financial planners and CFOs charge high monthly retainers or require ₹25 Lakh+ portfolios. Everyday earners and micro-businesses are left to make complex spending and debt decisions completely alone.
2. Cloud AI Data Leakage & DPDP Liabilities
Legacy finance apps upload unencrypted banking SMS logs to centralized cloud servers to monetize via loan commissions. Centralized data pipelines create massive breach vulnerabilities and severe DPDP Act 2023 non-compliance penalties.
3. The "Illusion of Wealth" & Invisible UPI Spending
Frictionless UPI instant payments remove psychological friction from spending. Bank debit alerts only display the remaining nominal balance—completely hiding that 80% is already committed for upcoming rent and bills due in days.
4. Math Hallucinations & Latency in Cloud LLMs
General-purpose cloud models (ChatGPT, Claude) lack a deterministic database layer. They hallucinate arithmetic, cannot guarantee exact ledger totals, and require high recurring per-token cloud API bills that cannot function offline.
See the Behavioral Trap in Real Time
Experience Ravi's interactive spend scenario: see how bank SMS creates a false sense of safety and how PrivFinancer's <20ms on-device AI CFO intercepts before the month-end bill crash.
No Affordable Financial Advisor
Certified advisors charge ₹1,500–₹3,000 per consultation, making routine daily guidance impractical. Users resort to asking public Cloud AI: "Can I afford this phone?"
No Full-Time Finance Department
Small business owners struggle with working capital, delayed client payments, vendor dues, and GST deadlines without a dedicated CFO.
Blind Trading & Disconnected Cashflow
Retail investors trade on social media tips or gut feelings without knowing their true liquid safety buffer, risking funds needed for rent or card bills.
Why We Exist: What Happens When Money Moves
Watch the active data flight below. Toggle between the insecure cloud model that leaks sensitive bank telemetry and Aflo's sealed on-device enclave.
User Pain Points
Fragmented Financial Picture
DATA SCATTEREDBank accounts, UPI, cards, credit lines and cash live in separate places. No single offline-first view of the user’s complete financial activity.
Sensitive Data Exposure
PRIVACY RISKBank alerts, balance and merchant records are highly sensitive. Cloud-first aggregation moves that information outside the device, exposing users to server breaches.
Retrospective Tracking
REAR-VIEW ONLYCharts only explain what already happened. They provide zero help with upcoming cash-flow pressure, rental obligations, or real-time affordability before purchasing.
No Continuous Guidance
NO REAL-TIME AIUsers still have to interpret complex dashboards themselves. Public AI is blind to balances, and human financial advice remains out of reach for 99% of consumers.
One private, unified financial layer that turns transactions into timely, actionable guidance.
The challenge is not accessing financial data. It is turning raw bank alerts into private, continuous intelligence directly on your phone without ever transmitting your balance to remote servers.
What We Solve
We eliminate fragmented multi-app chaos, stop sensitive financial data leakage to third-party cloud servers, and replace useless delayed rear-view charts with forward-looking intelligence.
How We Solve It
Sub-millisecond local SMS intercept with hardware-encrypted storage (0 KB egress), paired with fast private models that analyze financial moves in 20ms directly on your device silicon.
Why We Even Exist
To guarantee absolute data sovereignty under India's DPDP Act, liberate financial advisory from expensive cloud server bills, and deliver proactive cashflow protection to every citizen.
Architectural Moat vs. Legacy Trackers & Cloud AI Apps
| Capability / Feature | Legacy Trackers | Cloud AI Apps | PrivFinancer.ai |
|---|---|---|---|
| Automated SMS Parsing | Cloud Stored (Insecure) | Manual / None | ✓ 100% On-Device Local Engine |
| Cloud Data Transmission | Servers Exposed | Servers Exposed | ✓ 100% Zero Cloud Uploads (0 KB) |
| Conversational AI CFO | Static Charts Only | Cloud LLM (High Cost) | ✓ Hybrid (Local SLM + Stateless RAM) |
| Financial Auth Credentials | SMS Aggregators | OpenBanking Auth | ✓ Zero Financial Logins Needed |
5-Tier Sustainable Monetization Engine
Edge silicon architecture decouples user growth from recurring GPU cloud bills, delivering unprecedented margin scalability.
Privacy-Native Contextual Matching
Zero-tracker RAM sandbox affiliate matching without external user profile tracking. Advertisers pay for verified category intent executed entirely inside volatile client RAM.
90%+ Sustainable Gross Margins
Because model inference executes natively on client handset silicon (NPU/APU), Afloton's server cost per active user approaches near zero, immune to the escalating GPU cloud inferencing crisis.
Conventional Cloud AI Architecture
Centralized GPU clusters processing every user token over cloud endpoints.
Aflo Sovereign Edge Silicon Engine
Decentralized on-device SLM execution running directly on handset NPUs.
Interactive Edge Data Pipeline
Financial SMS Ingestion
Hardware broadcast receiver intercepts transaction SMS in 20ms under Google Play's Financial Exception. 100% on-device airgapped.
Deterministic Regex
Extracts amount, merchant, and mask in 0.08ms. 100% precision with <15MB RAM footprint.
Isar Encrypted Vault
Local-first database protected with hardware biometric fingerprint gating & AES-256 keys.
Aflo On-Device SLM
Quantized edge model runs natively on phone NPU/CPU in 20ms. Zero math hallucination.
Zero-Egress Sandbox
Strict memory sandbox isolating transaction data from external network telemetry. DPDP Act certified.
1-3-5 Year Global Strategic Growth Roadmap
Mobile Supremacy & Validation
Deploy quantized on-device SLM optimized for modern mobile NPUs and next-generation neural silicon.
Account Aggregator & Vernacular AI
Integrate RBI Account Aggregator framework via client-side ephemeral keys with multilingual vernacular speech models.
B2B Privacy SDK & Enterprise
License the On-Device Engine as an embedded SDK to regional cooperative banks, credit unions, and sovereign fintechs.
The Strategic Architecture Defenses
Why is capital needed for AI & server infrastructure if 100% on-device?
Google Play Store restricts SMS reading (READ_SMS). How does the app read SMS?
READ_SMS / RECEIVE_SMS) under their official "Financial SMS & Account Management" policy exception category — the exact policy utilized by leading Indian expense managers (Axio, Fold, Money View). Direct SMS access is necessary for 100% accuracy because notification listeners drop truncated messages, lose bundled alerts, and cannot backfill transaction history to build an initial balance ledger. Most importantly, while cloud competitors upload SMS feeds to remote servers, PrivFinancer isolates the permission entirely on client physical silicon with 0.00 KB network egress, transforming this permission into our greatest privacy advantage.
Budget phones have 3GB or 4GB RAM. Won't a 2B SLM cause phones to freeze or crash?
Small language models hallucinate numbers. What if the AI miscalculates balances?
Why wouldn't legacy cloud finance aggregators and established fintech incumbents just copy your offline architecture?
If your app is 100% offline, how do you collect payments and prevent piracy?
Will Indian consumers pay for financial privacy software?
How does device synchronization and data backup work? (Local Home Network & Direct Plug-In Architecture)
How is PrivFinancer fundamentally differentiated from existing apps? (Proactive Cashflow Guidance vs. Retroactive SMS Tracking)
FAQ
Everything you need to know about working with Afloton.