Specialist Engineering Consultancy

AI & Engineering Automation for Safety-Critical Product Development

Solve complex engineering problems. Accelerate delivery. Preserve engineering rigor.

Nava Inventions helps automotive and safety-critical product teams automate engineering workflows, develop ADAS/AV capabilities, and build scalable verification, simulation and traceability infrastructure.

AI Engineering ADAS / AV Functional Safety Verification & Validation Digital Twin
Engineering intelligence layer
Requirements & DesignSystem / software requirements, architecture, interfaces, design artifacts
Code & VerificationSource code, test cases, scripts, evidence, regression results
Controlled engineering context
Custom Agentic Orchestration RAG grounding · tool adapters · task planning · traceability graph · confidence scoring · policy gates · HITL review · audit trail
Enterprise model routing
Enterprise LLM / SLMAWS Bedrock · Azure · GitHub ecosystem · private models
Engineering ToolchainCI/CD · simulation · requirements tools · developer workflows · cloud / HPC
20+ yearsADAS/AV and safety-critical systems leadership
58Granted U.S. patents
ISO 26262Functional-safety expertise and committee participation
GlobalOEM and Tier-1 program leadership
What We Do

Senior engineering support where domain depth matters.

From AI-enabled productivity transformation to hands-on ADAS, verification and safety engineering, Nava Inventions can support both specialist capacity and outcome-owned work packages.

01

AI Engineering Automation

Controlled AI workflows across the product-development lifecycle.

  • Requirements quality and decomposition
  • Requirements-to-test automation
  • Design/document generation
  • Traceability and gap analysis
  • Agentic engineering assistants
Engineering AI with human review and traceability →
02

ADAS & Automated Driving

Algorithm, integration and validation experience beyond automation tooling.

  • Perception and model fine-tuning
  • Radar tracking and sensor fusion
  • TJA / ACC / control algorithms
  • Vehicle, SIL and HIL validation
  • System-to-software integration
From system need to executable behavior →
03

Simulation, Verification & DevOps

Scalable validation infrastructure for software-defined products.

  • Large-scale ADAS regression
  • Cloud / HPC distributed execution
  • Event extraction and KPI automation
  • Digital twin / log-to-scenario
  • SIL, virtual ECU, HIL and CI/CD
Build the validation backbone behind complex products →
04

Functional Safety & Traceability

AI acceleration with deterministic engineering rigor.

  • FMEA and FTA support
  • Safety gap analysis
  • Requirements / design / test traceability
  • Verification evidence support
  • Qualified engineering review gates
Accelerate analysis without compromising process discipline →
Selected Engineering Work

Representative anonymized use cases.

Customer names are intentionally omitted. The focus is on the engineering challenge, solution pattern and outcome.

Global Automotive Tier-1

Agentic AI for Requirements-to-Test Automation

AI-enabled workflow spanning requirements generation, requirement-to-test generation, test-script automation and traceability gap analysis, with human review gates.

Outcome: faster artifact creation, improved consistency and earlier visibility of requirement/test traceability gaps.
Safety-Critical Embedded Platform

Safety-Critical Software Automation

Source-code understanding, software-design-document generation, unit-test generation, test-code generation, target/virtual ECU execution support and traceability creation.

Representative savings in the source deck: ~50% for source-to-SDD, ~60–70% for SDD-to-test, and ~70–80% for unit/integration automation.
Global Automotive Tier-1

Large-Scale ADAS Validation Infrastructure

Regression framework for millions of logs, event extraction, KPI generation, cloud/HPC distributed execution, CI/CD integration and digital-twin / log-to-scenario creation.

Outcome: reusable validation backbone for scalable ADAS regression and faster defect triage.
Simulation & Validation

Digital Twin, SIL and HIL Development

Real vehicle logs → scenario generation → CARLA / digital twin → ROS playback → SIL / virtual ECU → HIL → KPI evaluation.

Outcome: repeatable closed-loop validation from real-world logs through virtual and hardware environments.
AI Across the Engineering Lifecycle

Automation mapped to real engineering workflows.

Nava Inventions applies AI to engineering artifacts and work products—not as a generic chatbot layer, but as controlled automation embedded into requirements, architecture, development, verification and validation.

DefineStakeholder needs · requirements · acceptance criteria
ArchitectSystem / software architecture · interfaces · allocations
DevelopDetailed design · code · documentation
VerifyUnit / integration tests · regression · KPI evidence
ValidateScenarios · coverage · compliance evidence
Agentic Engineering Layer RAG grounding · Tool adapters · Traceability graph · Confidence scoring · Policy gates · HITL review · Audit trail · Multi-model routing
How We Engage

Flexible commercial models, defined engineering outcomes.

Nava Inventions can join as senior specialist capacity while scope is evolving, or own a defined work package once inputs, deliverables and acceptance criteria are mature.

T&M Specialist Support

Best when discovery is active, architecture decisions are still forming, technical workshops are ongoing, or client teams need senior engineering bandwidth.

Outcome-Owned Work Package

Best when scope, inputs, review gates, outputs and acceptance criteria can be clearly defined and owned end-to-end.

01Discover

Customer problem and technical workshops

02Architect

Solution architecture and PoC definition

03Define

Scope, deliverables and acceptance criteria

04Deliver

Engineering, automation and validation

05Handover

Technical transfer and next-phase planning

KK
Replace this placeholder with Krishna Koravadi's preferred professional photograph before production launch.
Principal-Led Consulting

Krishna Koravadi

Lead Consultant, Nava Inventions

A hands-on technical partner for safety-critical engineering, ADAS/AV and AI-enabled delivery acceleration.

Nava Inventions can bridge customer discussion → solution architecture → executable engineering delivery, combining domain depth with practical implementation.

20+ yearsADAS/AV and safety-critical systems leadership
58 granted patentsADAS/AV and data-sharing technology
ISO 26262Functional-safety expertise and committee participation
Global programsOEM and Tier-1 program leadership
Technology Ecosystem

Adapt to the client environment instead of forcing one platform.

The architecture is modular: enterprise models, engineering-tool connectors, traceability, automation agents and human approval gates can fit existing client toolchains.

AI / AgentsBedrock · Amazon Q · Kiro · GitHub Copilot · LLMs / SLMs · Agentic workflows
ADAS / SimulationCARLA · ROS · Digital Twin · SIL · HIL · Virtual ECU
Engineering SystemsTraceability · VS Code plugins · CI/CD · Jenkins
Compute & DataHPC · Cloud · Distributed regression · Event extraction · KPI pipelines
Embedded / SafetySafety-critical RTOS · Automotive ECUs · Target hardware · Safety-critical domains
Start a Technical Discussion

Have a difficult engineering problem?

Let's discuss where AI automation, ADAS/AV expertise, validation infrastructure or safety engineering can create measurable leverage for your program.