In Active Engineering • Private Alpha

The AKWebs AI Platforms

We are actively building hardware-accelerated autonomous software platforms designed for enterprise deployment across cloud, on-premises, and air-gapped clusters.

For Allen / PW / Motion

NeuroFlow AgentOS (EdTech Edition)

Autonomous Academic Swarm & 24/7 Doubt Resolution Engine

An ultra-low latency academic orchestration runtime engineered in Kota for coaching institutes. Coordinates Socratic doubt-solving agents, LaTeX mathematical derivers, and pedagogy auditors with sub-20ms inter-agent messaging.

Concurrent Student Doubts
100k+ / Cluster
Routing Latency
< 12.8 ms
LaTeX Formula Accuracy
99.98%
Pedagogical Clarity
Grade A+ Certified
Dynamic decomposition of JEE Advanced / NEET doubts into conceptual derivations
Socratic step-by-step guidance rather than premature answer disclosure
Native support for LaTeX math, organic chemistry mechanisms, and circuit schematics
Automatic identification of common student conceptual traps and sign errors
Role-based privilege and syllabus boundary enforcement per exam tier
neuroflow.sdk.ts
TypeScript / Python Ready
import { AcademicCluster, DoubtDirective } from "@akwebs/neuroflow";

// Initialize Kota Coaching Doubt Swarm
const cluster = new AcademicCluster({
  orchestrator: "llama-3-70b-instruct-nim",
  curriculum: "JEE_ADVANCED_2026",
  guardrails: true,
  hardwareAcceleration: "tensorrt"
});

const resolution = await cluster.execute(new DoubtDirective({
  studentDoubt: "Calculate angular acceleration of cylinder rolling down incline without slipping",
  tools: ["jee_neet_curriculum_rag", "latex_math_solver"],
  pedagogyMode: "socratic_step_by_step"
}));
Curriculum RAG

NexusRAG Curriculum Engine

NCERT & 20+ Years JEE/NEET PYQ Knowledge Graph

High-performance semantic retrieval infrastructure indexing entire NCERT textbooks, 20+ years of JEE Main/Advanced and NEET PYQs, and coaching module booklets with zero out-of-syllabus hallucination.

Vector Search (NCERT + PYQs)
14 ms
Context Window Depth
128k Tokens
Out-of-Syllabus Risk
0.001%
Formula Indexing
100% LaTeX Indexed
Hybrid vector + concept hierarchy search with dynamic NTA syllabus filtering
Hardware-accelerated LaTeX formula and chemical reaction similarity lookup
Hierarchical chapter chunking linking theory directly to previous year questions
Real-time connector adapters for institute video transcripts and digital LMS notes
Zero-data exfiltration ensuring coaching institute proprietary test banks remain private
nexusrag.sdk.ts
TypeScript / Python Ready
import { NexusRAG, CurriculumIndex } from "@akwebs/nexusrag";

const ragEngine = new NexusRAG({
  curriculumStore: "ncert_jee_neet_archive",
  embeddingModel: "nvidia/nv-embedqa-e5-v5",
  precision: "fp16"
});

// Fast concept & PYQ traversal
const context = await ragEngine.query({
  topic: "Rotational Dynamics",
  examType: "JEE_ADVANCED",
  topK: 8,
  includeFormulaDerivations: true
});
Optical AI

VisionPulse Multimodal OCR

Handwritten Student Notebook & Diagram Vision Engine

High-throughput optical vision models trained to parse mobile camera snapshots of handwritten student notebook calculations, circuit diagrams, and organic chemistry mechanisms with automatic error localization.

Notebook OCR Frame Rate
60 FPS Stream
Error Localization Latency
18 ms
Handwritten Math Accuracy
99.4%
Chemical Structure OCR
SMILES / IUPAC
Zero-shot optical parsing of messy student handwriting and margin notes
Automatic localization of mathematical sign errors and missed algebraic steps
Complex document optical extraction for OMR sheets and mock test booklets
Edge-ready INT8 quantized model variants for student mobile app integrations
Seamless integration with NeuroFlow for instant corrective hint generation
visionpulse.sdk.ts
TypeScript / Python Ready
import { VisionPulseOCR } from "@akwebs/visionpulse";

const vision = new VisionPulseOCR({
  model: "visionpulse-multimodal-v2",
  targetExam: "JEE_ADVANCED",
  enableStepErrorLocalization: true
});

// Process uploaded mobile photo of student solution
const result = await vision.analyzeNotebookPage({
  imageBuffer: studentMobilePhoto,
  expectedProblemId: "rotational_motion_q14"
});

console.log("Localized Error in Step:", result.errorStep, result.pedagogicalHint);
Syllabus Compliance

AgentOps Curriculum Guardrails

NTA Syllabus Compliance & Pedagogy Auditor

Full-lifecycle telemetry, syllabus safety, and pedagogical governance suite. Enforces strict NTA / JEE / NEET syllabus boundaries to ensure AI tutors never give confusing out-of-syllabus answers.

Guardrail Latency
< 2.0 ms
Syllabus Compliance
100.0%
Out-of-Scope Blocking
99.98%
Pedagogy Audit Trail
Full Session Trace
Real-time token cost and VRAM tracking per coaching batch and student tier
NeMo Guardrails integration enforcing strict NTA syllabus compliance
Automatic filtering of non-pedagogical, sarcastic, or confusing AI outputs
Interactive debugger for visual replay of student-AI doubt sessions
Detailed analytics reports on top student misconception topics across batches
agentops.sdk.ts
TypeScript / Python Ready
import { AgentOps, SyllabusGuardrail } from "@akwebs/agentops";

const guardrails = new AgentOps({
  curriculum: SyllabusGuardrail.JEE_MAIN_ADVANCED_2026,
  strictSyllabusEnforcement: true,
  zeroDataRetention: true
});

// Middleware intercepts all student-AI doubt dialogues
guardrails.audit((trace) => {
  if (trace.hasOutOfSyllabusConcept) {
    trace.redirectWithElementaryExplanation();
  }
});

Join the Developer Alpha & Architecture Review

We are actively developing these platforms. Request early technical access, architecture whitepapers, or participate in private alpha testing.

Enterprise Technical Intake

Project & Architecture Brief

Connect directly with Anil Kumar Jangid and our autonomous systems engineering squad in Kota, Rajasthan.