AXIONIK
“Delivering mission-critical IT solutions businesses rely on today. Building toward the in-house intelligence, robotics manufacturing, and custom silicon of tomorrow.”
“One company. A disciplined progression of technology.”
AXIONIK combines high-value enterprise IT solutions for businesses today with disciplined long-term foundational R&D across in-house AI, future robotics manufacturing, and specialized silicon fabrication.
IT Solutions & Software
High-throughput enterprise platforms, custom business software, microservices, and our shipped consumer software suite: FriendsBook, Chess Master, and PDFAIO.
- • Custom Enterprise Software
- • Real-Time Distributed Infra
- • FriendsBook (500+ Devices)
- • Chess Master & PDFAIO Apps
In-House AI & LLM
Our own independently engineered Axelion transformer architecture, parameter-efficient reasoning models, dense enterprise RAG pipelines, and private on-premise execution.
- • Axelion In-House Transformer
- • Enterprise RAG & Vector Search
- • Private Business AI Engines
- • 100% Data Sovereignty
Robot Manufacturing
Future Scope: Progressing from screen-based algorithms to embodied robotic intelligence, stereoscopic computer vision, Micro-ROS actuation, and industrial robotic systems.
- • Future Embodied Intelligence
- • Spatial Computer Vision
- • Micro-ROS Kinematic Actuation
- • Industrial & Service Hardware
Semiconductor Fabrication
Further Long-Term Horizon: Long-term trajectory toward custom neural accelerator microarchitectures (NPU/ASIC) and specialized ultra-low-power silicon fabrication.
- • Custom Silicon Architecture
- • Sub-Watt NPU Microcode
- • On-Device Edge Accelerators
- • Specialized Fabrication Roadmap
“A product built to ship.”
FriendsBook is the first major shipped product of AXIONIK. Built and operated as part of the AXIONIK product stack, providing high-frequency social connectivity with complete data sovereignty.
“Built and operated as part of the AXIONIK product stack.”
FriendsBook 2.0 • LIVE
Shipped Software Applications
Production applications engineered and maintained in-house by AXIONIK, spanning consumer real-time social networking, deterministic algorithmic game engines, and privacy-first edge document utilities.
FriendsBook
Our flagship consumer social network and high-frequency real-time messaging platform. Features sub-50ms WebSocket direct chat, chronological feeds with zero algorithmic bias, adaptive HLS video reels, and complete user data sovereignty.
Chess Master
Tactical algorithmic chess platform driven by deterministic minimax evaluation with alpha-beta pruning. Includes real-time legal move validation, positional scoring heuristics, and interactive tactical analysis with zero external dependencies.
PDFAIO (PDF All-In-One)
Enterprise document intelligence and manipulation suite engineered for absolute confidentiality. Merge, split, compress, watermark, rotate, and extract text entirely within client memory using WebAssembly with zero cloud file uploads.
Measured real-world product usage
FriendsBook is live in early production testing. Real usage telemetry collected directly from our self-hosted cluster databases. Not simulated bot traffic.
“We don't only use models. We build them.”
Axelion is a custom transformer neural architecture engineered from first principles by Akshat Sharma. Developed independently to explore lightweight parameter-efficient reasoning, sub-quadratic attention, rotary positional embeddings, and on-device quantization without reliance on commercial cloud APIs.
import torch
import torch.nn as nn
from typing import Optional
class AxelionBlock(nn.Module):
"""
Axelion parameter-efficient transformer block.
Features: Grouped Query Attention (GQA), Rotary Position Embeddings (RoPE),
RMSNorm normalization, and SwiGLU non-linear feed-forward network.
"""
def __init__(self, d_model: int = 128, n_heads: int = 4, n_kv_heads: int = 2):
super().__init__()
self.attn_norm = RMSNorm(d_model)
self.gqa_attention = GroupedQueryAttention(d_model, n_heads, n_kv_heads)
self.ffn_norm = RMSNorm(d_model)
self.swiglu_ffn = SwiGLUFeedForward(d_model, intermediate_dim=384)
def forward(self, x: torch.Tensor, freqs_cis: torch.Tensor, mask: Optional[torch.Tensor] = None):
h = x + self.gqa_attention(self.attn_norm(x), freqs_cis, mask)
out = h + self.swiglu_ffn(self.ffn_norm(h))
return out“Research is only useful when it becomes a system.”
Deploying AI into production requires far more than raw weights. Our architecture incorporates multi-stage semantic verification, dense vector retrieval, and deterministic tool safety.
“First robot manufacturing. Then physical intelligence.”
Bridging neural computation with physical actuation • Spatial computer vision • Micro-ROS • Deterministic kinematics
Computer Vision & Spatial Depth
Stereoscopic depth estimation, 3D point-cloud reconstruction, and spatial object bounding boxes executing at 60 FPS on edge accelerators for obstacle avoidance and mapping.
Sensors & Kinematics Control
Deterministic closed-loop PID and inverse kinematics engines executing with sub-5ms loop frequencies to drive precision motor actuation and multi-axis articulation.
Edge Micro-ROS Orchestration
Distributed micro-ROS orchestration nodes operating directly over CAN bus and UART channels, eliminating non-deterministic operating system latency for real-time safety.
“Intelligence shouldn't belong only to expensive hardware.”
Exploratory research into model quantization, custom NPU ASIC microarchitecture, and long-term specialized silicon fabrication.
$100 Smartphone Testbed
Entry-tier MediaTek / Qualcomm SoC with 4GB LPDDR4x. Executing quantized Axelion model weights completely offline with zero cloud latency.
ARM RK3588 (6 TOPS NPU)
Single-board industrial edge compute for local appliance intelligence, offline document intelligence, and low-latency perception.
Robotic Controller Testbed
Low-power ARM64 single-board node coordinating real-time Micro-ROS communications, camera streams, and kinematic control loops.
“Built across the stack.”
From high-frequency client applications to neural weight quantization and bare-metal cluster deployment.
APPLICATIONS
Client runtimes & reactive frontends.
SYSTEMS
Event loops & communication protocols.
DATA
Persistent stores & vector embeddings.
INFRASTRUCTURE
Cluster deployment & orchestration.
ARTIFICIAL INTELLIGENCE
Model research & tokenizers.
ACCELERATION
Hardware compilation & edge runtimes.
“Production software engineering & digital infrastructure for businesses.”
AXIONIK operates as a dedicated technology solutions partner for modern businesses. We design, architect, deploy, and maintain mission-critical web platforms, high-throughput backend APIs, and secure private AI integrations with unyielding engineering rigor.
Full-cycle engineering of bespoke enterprise web applications, responsive customer portals, and high-performance mobile apps tailored to business operations.
- • Enterprise Web Applications
- • Cross-Platform Mobile Apps
- • Multi-Tenant SaaS Portals
- • Responsive UX Architecture
High-frequency WebSocket channels, microservices, asynchronous job queues, and robust REST/GraphQL APIs architected for sub-second latency and high concurrency.
- • Sub-50ms WebSocket Engines
- • Microservices & REST/GraphQL
- • Redis & Database Replication
- • High-Concurrency Scaling
Custom retrieval-augmented generation (RAG) pipelines, vector search, internal enterprise knowledge bases, and private model deployment with 100% data sovereignty.
- • Private On-Premise AI Deployment
- • Enterprise Document Search & RAG
- • Custom Domain Fine-Tuning
- • Zero Third-Party Data Leakage
Automated CI/CD deployment pipelines, container orchestration, multi-region failover, proactive vulnerability remediation, and 24/7 infrastructure monitoring retainers.
- • Automated CI/CD Pipelines
- • Docker & Cloud Orchestration
- • Security & Vulnerability Audits
- • 24/7 Managed Uptime Retainers
Ready to engineer your company's next digital leap?
Consult directly with our engineering team in Saharanpur, UP. We provide rapid technical evaluations, clear architecture roadmaps, and fixed-timeline delivery.
“This is the beginning.”
A multi-year technical roadmap: starting with production IT solutions and software today, scaling into in-house AI, robot manufacturing, and long-term silicon fabrication.
Enterprise IT engineering retainers for businesses. Scaled operations of FriendsBook (500+ verified devices, sub-50ms WebSocket), Chess Master algorithmic game engine, and PDFAIO private document intelligence suite.
Advancing Axelion Transformer research (GQA, RoPE, RMSNorm, SwiGLU). Developing enterprise retrieval-augmented pipelines (RAG), private domain fine-tuning, and deterministic autonomous agent workflows.
First industrial hardware milestone: moving intelligence from screen to physical actuation. Stereoscopic computer vision, Micro-ROS over CAN bus, closed-loop kinematics, and dedicated robotic assembly prototypes.
Second frontier horizon: co-designing custom ultra-low-power NPU/ASIC silicon microarchitectures. Simulating sub-watt edge tensor instruction sets and pursuing dedicated specialized fabrication foundry partnerships.
“Engineering first principles from silicon to user experience.”
Akshat Sharma
Creator of FriendsBook and architect of the Axelion Transformer research project. Leading end-to-end systems engineering, distributed WebSocket messaging clusters, and low-power edge silicon compilation.
“Build the next layer with us.”
We are looking for exceptional builders who care about deep systems, honest engineering, and the physical edge.
Proprietary intelligence tomorrow.”