SYS_CORE ONLINE • v2026.4

AI Research and
Experimental Dev
for Real Systems.

Prajnasetu Labs designs, trains, and deploys localized, high-performance AI architectures utilizing scalable bare-metal GPU infrastructure.

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About Prajnasetu Labs

Prajnasetu Labs is an independent AI Research and Development company headquartered in Lucknow, India. We are strictly focused on pushing the boundaries of deep tech, building experimental systems, and transitioning novel machine learning research into robust, scalable industrial applications.

Our Mission

To democratize access to enterprise-grade artificial intelligence by building highly localized, efficient, and compute-optimized models that solve real-world complexities across Bharat and global markets.

Infrastructure First

Operating on a bare-metal cloud philosophy, we heavily optimize CUDA kernels and distributed GPU training to maximize FLOPS per watt.

Data Sovereignty

We implement SOC2-compliant architectures, ensuring all proprietary datasets for fine-tuning remain isolated, encrypted, and strictly governed.

Q1 2026

Foundation & Cluster Setup

Established core lab infrastructure in Uttar Pradesh and finalized initial GPU provisioning for base model experimentation.

Q2 2026

Proprietary LLM Pipeline

Successfully trained 7B parameter domain-specific model utilizing custom RLHF implementation and local datasets.

Q3 2026 (Current)

Multimodal Experimental Dev

Scaling infrastructure for predictive systems and vision-language integration for enterprise partners.

Research & Development

Model Development

Designing novel architectures, fine-tuning open-source foundations, and optimizing hyperparameters for domain-specific tasks.

Lifecycle Flow

Pre-train SFT RLHF

Experimental Systems

Prototyping multi-agent systems, continuous learning loops, and edge-device deployment strategies.

System Architecture

A1
CORE
DB

AI Infrastructure

Building robust, scalable pipelines utilizing Kubernetes, bare-metal GPUs, and cloud orchestration.

Cloud Topology

Gateway
Load Bal
Inference Nodes (K8s)
METHODOLOGY

Standard Experimental Workflow

01

Data Ingestion

Scalable APIs

02

Processing

ETL & Cleaning

03

Model Training

Distributed Multi-GPU

04

Evaluation

Red-Teaming

05

Deployment

Low-Latency API

Industry Focus

Applying fundamental AI research to mission-critical sectors requiring high reliability, data privacy, and extreme low-latency processing.

Defense & Cyber

On-premise LLMs for secure document analysis, threat detection, and geospatial SAR/EO workflow automation.

FinTech & Trading

Low-latency anomaly detection, predictive analytics, and automated fraud mitigation for high-frequency data streams.

Healthcare Tech

Privacy-preserving synthetic data generation and multilingual OCR for analyzing complex medical records securely.

SYSTEM MODULES

Specializations

Modular capabilities you can combine to build end-to-end systems — from data ingestion and retrieval to generation, evaluation, and observability.

Retrieval-Augmented AI

Trustworthy, source-grounded Q&A for enterprise and public sector knowledge bases.

  • > Graph & Hybrid RAG
  • > Hallucination controls

Document Intelligence

Layout-aware OCR and deep semantic understanding across Indian languages and scripts.

  • > Handwritten support
  • > Tables extraction

Speech & Translation

Language-agnostic diarization, transcription, and translation built for Bharat-scale use.

  • > Code-switching robust
  • > Low-SNR handling

Hardware & Stack

Prajnasetu Labs engineers at the lowest level possible. By bypassing generic cloud wrappers and operating directly on bare-metal architectures, we drastically reduce inference latency and training overhead.

AWS / GCP
NVIDIA CUDA
Python
PyTorch
S3/DB
GPU Cluster
API
Cluster Status: ACTIVE 99.9% Uptime

GPU Utilization

87%

Active Nodes

64

Initialize Collaboration

Request a technical demo or discuss scalable AI solutions for your enterprise infrastructure.