Incubated at VTU-VRIF TBI
PragyanAI Logo - Grow with Gyan
Autonomous AI-First Workflows for Semiconductor Design & Verification

Next-Gen Silicon AI & Generative EDA Kernel

Democratizing silicon innovation for a self-reliant, AI-powered India. PragyanAI provides autonomous multi-agent co-pilots from Natural Language Specification to Synthesizable RTL, Automated UVM Verification, and Predictive PCB Review.

VTU-VRIF TBI Navodaya Cohort 1
NITK | Stanford Ignite | IIMA Strategy
25+ Yrs Silicon Pedigree (ex-Intel, Philips, Samsung)
10x
Faster Spec-to-RTL Flow
70-80%
Verification Effort Cut
TRL 4
Validated in Lab (MVP)
Pragyan_MAGE_Engine_v2.4
SYSTEM ONLINE
// Natural Language Design Requirement
"Design a 32-bit AXI4 high-throughput pipelined multiplier with valid/ready handshake, saturation logic, and clock gating."
Active Multi-Agent Pipeline Golden Spec Frozen
1. SpecLLM™: Constraints & Port Matrix
2. Critic Agent: Audit & CDC Risk Check
3. RTLForge™: Synthesizable Verilog
4. VeriGen™: Self-Checking UVM Testbench
Synthesizability & Lint: 0 Violations WNS Slack: +0.32 ns
Dynamic Power: -38.6% Functional Coverage: 96.4%
TSMC 7nm / GF 22FDX / SCL 180nm

Full Lifecycle Electronics & Semiconductor Stack

From natural language architectural specifications to silicon sign-off and AI-inspected PCB hardware production.

1. System Level

Define • Explore • Validate

SpecLLM™ requirement intelligence, multi-agent architecture trade-off exploration (ArchAI™), and PPA risk forecasting.

2. Chip Level

RTL • Verify • Tapeout

Spec2RTL code generation, differential verification (RTL2SIM), autonomous coverage closure (CoverAI™), and waveform debuggers.

3. Board (PCB) Level

Schematic • SI/PI • DFM

AI schematic capture, BOM optimization, thermal/EMI predictors, and Vision AI (YOLO + SAM 2) for defect inspection.

4. Talent & Consulting

Copilot-Led Skilling & ODC

2,500+ engineers upskilled in VLSI/PCB/AI, Applied AI Labs across Karnataka colleges, and dedicated engineering pods.

Company DNA & Heritage

About Pragyan SmartAI Technology

Incorporated in 2021 in Bengaluru, India. We combine 25+ years of global semiconductor pedigree with advanced AI research to build the autonomous engineering office for India's Semiconductor Mission.

SA
Founder & CEO

Dr. Sateesh Ambesange

PhD (AI) • NITK • Stanford Ignite • IIMA

• 25+ Years Experience: Leadership in semiconductor, VLSI, and system design across Intel, Philips, Samsung, STMicroelectronics, and SanDisk.

• Academic & Strategy Fellow: Stanford Ignite / Seed Spark, IIMA (Business Strategy & Communication), SLP Fellow. Author of 20+ research papers.

• Skilling Impact: Trained 10,000+ engineers in AI, GenAI, and VLSI across 100+ institutions.

RU
Co-Founder & CTO

Dr. Rashmi Uppin

PhD (AI) • M.Tech (VLSI & Embedded Systems)

• 10+ Years Deep-Tech Focus: Leads product architecture, specialized hardware LLMs, and differential verification engines.

• Research & Innovation: Pioneer in applying Generative AI & Graph Neural Networks (GNNs) for hardware verification and timing analysis.

• Product Execution: Steers engineering sprints from POC to MVP validation across SiliconCopilot and PCB Sentinel.

Product Architecture VLSI & AI Lead
MP
Marketing & Partnerships

Mallikarjun Patil

MBA • VTU-VRIF Mentor

• 10+ Years Business Leadership: Strategic outreach, enterprise partnerships, and startup customer acquisition.

• Incubation & Ecosystem: Key liaison with the VTU-VRIF Technology Business Incubator, government semiconductor missions, and KDEM clusters.

• Regional Skilling Network: Drives the rollout of Applied AI Labs across Tier-2 and Tier-3 Karnataka engineering colleges.

Growth & Outreach VTU-VRIF Mentor
Incorporated
2021
Bengaluru, India (CIN: AAV-9671)
Current Stage
TRL 4 (MVP)
Lab Validated / Active Pilots
Ecosystem Incubator
VTU-VRIF TBI
Navodaya Cohort 1 Startup
Engineers Skilled
2,500+
Scaling to 10,000+ across India

Our Mission

Democratize custom silicon and electronics design by empowering startups, MSMEs, and enterprises with an autonomous, AI-native engineering workforce. We make tapeout accessible at 1/10th the traditional EDA cost without requiring 50-person specialized teams.

Sovereign India Semiconductor Vision

Aligning with the India Semiconductor Mission (ISM) and Atmanirbhar Bharat, PragyanAI is building India's indigenous EDA software layer. Instead of 100% dependency on foreign proprietary tools, we provide sovereign IP ownership and nurture deep-tech talent from Tier-2/3 cities.

12+ Core Solutions

The Silicon AI Engineering Suite

Click below to inspect the multi-agent architectures and capabilities across System, Chip, PCB, and Talent layers.

Product 1 of 12 • System Level Core

SpecLLM™ — Semiconductor Specification Intelligence

World's first multi-agent specification engine that converts ambiguous natural language, PRDs, and PDF datasheets into formal, traceable, and verification-ready engineering specifications.

TRL 4 Validated Launch Spec Designer

The 7-Agent SpecLLM Intelligence Pipeline:

1. Requirement Agent

Extracts functional/non-functional requirements, actors, inputs, and outputs from unstructured text or SRS documents.

2. Specification Analyst

Converts requirements into formal engineering terminology, defines hierarchies, and maintains requirement IDs.

3. Constraint Agent

Detects performance limits, clock speeds (e.g. 500MHz), latency ($< 10\mu s$), power budgets, and protocol standards.

4. Critic Agent

Actively challenges assumptions, catches contradictions (e.g., latency vs power), and asks clarifying questions.

5. Gap Analysis Agent

Discovers missing parameters (e.g. packet size, corner-case temperature ranges) and highlights their impact.

6. Refinement Agent

Rewrites vague phrases ("process data quickly") into quantitative parameters (10 Gbps AXI4-Stream @ 500MHz).

7. Solution Intelligence

Recommends optimal architectures (FPGA vs ASIC vs SoC), reusable IPs, and delivers multi-objective trade-offs.

Output Deliverable

Golden Spec (RDS) with Full Bidirectional Traceability

SiliconAI Architect (ArchAI™)

Transforms specifications into candidate chip microarchitectures. Multiple agents (CPU, Interconnect/NoC, Memory, Security, PPA, and Risk) evaluate alternatives:

  • Architecture A: Performance Optimized (PPA Score: 86)
  • Architecture B: Balanced Recommended (PPA Score: 91)
  • Architecture C: Low-Power Optimized (PPA Score: 83)
Includes Human-in-the-Loop decision gate: AI proposes; senior architect approves, modifies, or rejects.

Engineering Knowledge Fabric (SiliconMind™)

A private persistent memory layer combining RAG + Vector DB + Knowledge Graphs + Rules Engine:

  • Ingests internal IP blocks, previous designs, and lessons learned.
  • Air-gapped on-premise security: Proprietary NDA designs never leave the firewall.
  • Self-improving flywheel: Every project makes the company's AI smarter.
Connected to live Streamlit RAG POC: SQLite + FAISS Vector Engine.
The Critical Industry Challenge

Why Such Solution is Needed

Semiconductors underpin every breakthrough in AI and computing, yet the engineering tools were built 30 years ago.

Problem #1

Verification Bottleneck

40% to 60%+ of total engineering time is lost in manual UVM testbench writing, lengthy simulation runs, and endless coverage closure loops.

Problem #2

Multi-Million $ EDA Licenses

Legacy EDA vendors (Synopsys, Cadence, Siemens) charge $1M to $5M+ annually per design team, shutting out startups, MSMEs, and academia.

Problem #3

Slow 12-24 Month Tapeout Cycles

Sequential, manual handoffs between architects, RTL coders, and physical layout teams take up to 2 years, missing hyper-competitive market windows.

Problem #4

Acute Deficit of Senior Talent

A projected shortage of 1 Million+ semiconductor engineers by 2030. In India, less than 5% of engineers have multi-domain verification mastery.

Problem #5

Specification Ambiguity

20% to 40% of rework stems from vague, natural-language requirements that lead to misinterpretations discovered months later in physical layout.

Problem #6

Catastrophic Re-spin Costs

Finding a bug late in silicon costs $5M to $50M+ per mask re-spin and 6-12 months of delay; PCB rework costs $100K-$500K per production run.

The PragyanAI Transformation

How PragyanAI Solves the Bottlenecks

Dimension Traditional Flow (Manual & Fragmented) PragyanAI (Autonomous Multi-Agent) Business Impact
Turnaround Cycle Time 12 – 24+ Months per SoC Tapeout 3 – 6 Months (Specs in days, RTL in weeks) 60 – 75% Faster to Market
Tool & Compute Costs $1M – $5M+ per seat annually Affordable SaaS (₹1K-₹2K/mo) + Multi-Agent layer 40 – 60% Lower Tool Overhead
Verification Effort Consumes 70% of total engineering time Autonomous UVM & SVA generation (CoverAI™) 70 – 80% Verification Effort Cut
Engineer Productivity 1x Baseline (Hand-coded Verilog & scripts) 3x – 6x with Human-in-the-Loop AI agents 5x – 10x Velocity Multiplier
Institutional Knowledge Tribal knowledge lost during staff attrition Knowledge Fabric (RAG + Knowledge Graph cache) Compounding Company IP Moat
Tool Compatibility Vendor lock-in (Incompatible formats) Integrates with Synopsys, Cadence, OpenROAD, KiCad Zero Workflow Disruption
Venture Round Open • Navodaya Cohort 1

Investor Pitch & Pre-Seed Opportunity

Pragyan SmartAI Technology LLP is raising a $350,000 – $500,000 USD (₹3.0 Cr – ₹4.2 Cr INR) round to scale India's sovereign AI-EDA software platform to first foundry tape-out validation.

Target Raise
$350K - $500K
₹3.0 Cr – ₹4.2 Cr INR
Instrument: SAFE Note / Convertible Equity
TAM (2030 Forecast)
$130+ Billion
EDA, PCB, Silicon Services & Training
Core EDA + PCB TAM: $26.3B
Business Model
Hybrid Model
Services Now + Scalable SaaS
Run-rate: Near-term cash-flow positive
Readiness Level
TRL 4 (MVP)
Moving to TRL 5/6 Pilots
Pilots: 10+ Startups & 20+ Colleges
Deck Presentation Mode:
public_html/PDF_Files/ • SpecLLM Doc (86 Pages)

SiliconAI - AI, AgenticAI EDA Kernel for Autonomous Semiconductor Design & Verification

Location: public_html/PDF_Files/SiliconAI_Pitch_Deck.pdf

67 Presentation Slides • TRL 4 MVP Validated • Autonomous Silicon EDA Stack Confidential Investor Document • Pragyan SmartAI Technology LLP
Available Technical Documentation in public_html/PDF_Files/
High-resolution investor and engineering packets

SiliconAI Pitch Deck & Architecture Kernel

SiliconAI_Pitch_Deck.pdf (67 Pages)

SpecLLM Multi-Agent Engineering Specification System

SpecLLM_System_Spec.pdf (86 Pages)

Use of Pre-Seed Funds (18-Month Plan)

Capital deployment planned to achieve commercial pilots, first multi-project wafer (MPW) foundry shuttle validation, and recurring platform licenses.

Target Runway: 18 Months to Seed Round ($2.5M)
45%
EDA AI R&D
Custom hardware LLMs & agent kernels
25%
Silicon Tapeout
Foundry MPW test chip shuttle runs
20%
Core Talent
Physical design & verification engineers
10%
Pilots & Ops
IP protection, legal, and enterprise trials
Institutional Incubation

Backed by VTU-VRIF TBI

Incubated under Navodaya Cohort-1 at the Visvesvaraya Technological University Research & Innovation Foundation (VTU-VRIF), Jnana Sangama Campus, Belagavi, and Bengaluru TCOE.

Official Incubation & Academic Alignment

VTU–VRIF Technology Business Incubator (TBI)

Pragyan SmartAI Technology LLP was selected and onboarded under Navodaya Cohort-1 at the VTU-VRIF TBI. The program provides semiconductor lab compute, academic research mentorship, and integration with Karnataka Digital Economy Mission (KDEM) innovation clusters.

Jnana Sangama Campus, Belagavi, Karnataka VRIF TCOE Centre of Excellence, Bengaluru 20+ Engineering Colleges Collaborating
Navodaya Cohort-1 Startup

Empowering sovereign deep-tech EDA innovation across 200+ VTU engineering affiliated colleges.

Statewide Economic & Skilling Impact

Applied AI Labs Across Karnataka (Beyond Bengaluru)

Target: 500+ Deep-Tech Jobs in 3 Years

High-paying VLSI and AI engineering jobs have traditionally been concentrated solely in Bengaluru. PragyanAI establishes Applied AI Labs in Tier-2/3 cities to train local students on consulting pods, bringing Bengaluru-level salaries directly to local economies:

Hubballi SDM Univ / Dharwad
Mysuru Vidyavardhaka / VVIT
Belagavi VTU Hq & KLS GIT
Bidar GNDCE Bidar
Bengaluru DSCE & VRIF TCOE
Surathkal NITK Alumni Connect
Product Demonstrations

Watch & Test PragyanAI Live

Review the official 7-minute EDA product walkthrough video and access our active Streamlit POC applications.

Official Product Demo: SpecLLM, RTL Synthesis & Autonomous Verification
Open on YouTube

Video Timeline

0:15
SpecLLM Parsing: Natural language intent converted to port definitions.
02:10
Synthesizable RTL: Verilog generation with automated clock-gating insertion.
04:30
VeriGen UVM Engine: Self-checking testbench driving coverage closure.
06:05
Waveform Debug: First divergence detection in VCD traces.
Live Cloud Workspaces

Active Streamlit Web Applications

Deployed and tested in lab environments (TRL 4)

Frontend Spec & RTL Generator

MAGE framework with Spec Designer, Critic Agent CDC audit, RTL Generator, and Verification Bench.

PCB Verification & Vision AI

Multi-agent PCB analysis with YOLOv8-seg, Meta SAM 2, and Groq LLM for real-time board defect detection.

Hardware Planning Engine

LangGraph state machine transforming natural language PRDs into validated architecture plans with power trees.

Silicon RAG IP Dataset Assistant

SQLite + FAISS CPU vector store indexing PCIe, AMBA, and RISC-V datasheets for grounded design answers.

Architecture Sandbox Preset:
riscv_rv32i_core.sv Syntax Verified

          
Post-Synthesis PPA Telemetry
Timing Slack (WNS) +0.32 ns (MET)
Power Reduction vs Baseline -38.6%
Cell Density Utilization 82.4% Density
Autonomous UVM Test Vectors 1,420 / 1,420 Passed
Interoperable with OpenROAD, Yosys, Verilator, Synopsys & Cadence flows.
Connect & Collaborate

Get in Touch with PragyanAI

Directly connect with our founding and engineering leadership for Pre-Seed discussions, tool pilots, or academic partnerships.

Direct Leadership Hotline

Dr. Sateesh Ambesange (Founder & CEO) • Available for investor queries, pilot evaluations, and university leadership calls.

Official Email Channel

For investor data rooms, confidential specs, NDA designs, or institutional pilot queries. Responses guaranteed within 24 hours.

Incubator & Campus Lab

VTU–VRIF TBI Campus

Technology Business Incubator, VTU Research & Innovation Foundation (VRIF),
Jnana Sangama Campus, Belagavi, Karnataka – 590018, India

Bengaluru CoE: VTU-VRIF TCOE Centre, Bengaluru, Karnataka

Registered Corporate Office

Pragyan SmartAI Technology LLP

Flat No B 5033, DLF Westend, DLF New Town, Akshayanagar,
Bengaluru (Bangalore), Karnataka – 560068, India

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