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AI-native. Security-first. Built for scale.

From autonomous AI agents to resilient cybersecurity platforms, BodhixAI builds the technology that powers tomorrow's enterprises.

Who we are

Complex technology. Beautifully simplified.

BodhixAI is a research-driven technology company creating secure, intelligent, and scalable digital systems. We combine AI innovation, cybersecurity engineering, and modern software development to solve meaningful business challenges.

  • 01Built for intelligence.
  • 02Designed for trust.
  • 03Engineered to scale.

Powerful technology, thoughtfully engineered.

  • Agentic AI & Automation

    Intelligent agents and automated workflows that reason, orchestrate tools, and streamline complex business operations.

  • AI Cybersecurity

    Intelligent threat detection, security analytics, and resilient architectures designed for evolving digital environments.

  • Custom SaaS Development

    Scalable cloud-native platforms, enterprise applications, and subscription software engineered around real business needs.

  • Generative AI & LLM Engineering

    Domain-aware assistants, retrieval-augmented generation, enterprise knowledge systems, and dependable LLM applications.

  • Blockchain & Web3

    Decentralized applications, smart contracts, and verifiable digital infrastructure.

  • Cloud, Edge & MLOps

    Production-focused deployment, infrastructure automation, model serving, and scalable AI operations.

From ambitious ideas to engineered reality. Founder-led research and engineering that shapes how we build.

All work
sage-ids · network overview

Risk set

Elevated

Illustrative concept
AI Cybersecurity / Research· Founder-led research

SAGE-IDS — Intelligent Network Threat Detection

A graph-centric intrusion detection framework combining structural surprise, network flow intelligence, and conformal risk estimation to support more reliable security decisions across interconnected environments.

Graph LearningPythonMachine LearningCybersecurity
View Project
orbit · evaluation run
1Read telemetry
2Form hypothesis
3Query runbook
4Propose action
5Verify outcome

Step accuracy

Grounding

Completion

Illustrative concept
Agentic AI / Enterprise Automation Research· Founder-led research

ORBIT — Operational Intelligence Benchmarking

A benchmark for evaluating multistep operational reasoning in IT operations automation, supported by retrieval-grounded data generation and annotation workflows.

LLMsRAGAgentic AIEvaluation Pipelines
View Project
crowdfunding nexus · campaign

Funds raised (illustrative)

On-chain activity

Illustrative concept
Blockchain / SaaS· Independent engineering

Crowdfunding Nexus

A blockchain-enabled crowdfunding platform designed to improve transparency, traceability, and trust in startup fundraising.

BlockchainSmart ContractsWeb3
View Project
nft marketspace · discover
#17
#34
#51
#68
#85
#102
Illustrative concept
Web3 / Digital Commerce· Independent engineering

NFT Marketspace

A decentralized marketplace supporting the creation, discovery, buying, and selling of unique digital assets.

MotokoBlockchainWeb3
View Project
federated · training round
Illustrative concept
AI Security / Privacy Engineering· Research prototype

Federated Intelligence for Connected Systems

Research-informed privacy-preserving machine learning architectures for distributed connected environments, incorporating secure collaboration and decentralized trust mechanisms.

Federated LearningPrivacy EngineeringBlockchainAI
View Project
dreamhome · listings

Filters

Illustrative concept
SaaS / Full-Stack Engineering· Independent engineering

DreamHome — Modern Property Experiences

A property rental application connecting property seekers and homeowners through a streamlined digital experience.

Express.jsMySQLFull-Stack Development
View Project
01/ 06

Featured innovation

Security that understands the network.

Move beyond isolated alerts with intelligent security systems that analyze network relationships, behavioral signals, and emerging threats.

  1. 01

    Normal activity

    Thousands of hosts talk to each other every second. Most of it is routine.

  2. 02

    Something unusual

    One interaction doesn't fit the structure the network has shown so far.

  3. 03

    Relationships emerge

    Looking at its neighbours reveals who else is involved — context a flow-by-flow view misses.

  4. 04

    Risk, quantified

    Calibrated risk estimates say not just what looks wrong, but how confident to be.

  5. 05

    Action, with clarity

    Analysts see one coherent incident instead of a flood of isolated alerts.

Illustrative simulation

Why BodhixAI

  • Research-driven innovation

    Grounded in emerging advances across artificial intelligence, cybersecurity, and intelligent systems.

  • Security by design

    Security considerations integrated into architecture, development, and deployment.

  • Built for scale

    Modern engineering practices designed for reliability, maintainability, and growth.

  • End-to-end execution

    From initial discovery and prototyping to implementation and continuous improvement.

Research & innovation

Our foundations come from peer-reviewed work in AI security, connected systems, and quantum machine learning, led by our co-founder and collaborators.

All research
  • PublishedCybersecurity

    Graph-Based Network Intrusion Detection

    Fusing graph structure with flow features, and calibrating every alert with conformal prediction.

    SAGE-IDS: Graph-centric Intrusion Detection with Structural Surprise and Conformal Risk for the IoX

    IEEE CONECCT 2026
  • OngoingCybersecurity · Connected Systems

    Physics-Informed AI for Network Security

    Using physical and system constraints to make security models more robust and trustworthy.

    Physics-aware / constraint-aware intelligent systems for network security in IoX

    M.Eng thesis, National University of Singapore
  • OngoingAgentic AI

    Agentic AI and Operational Reasoning

    Evaluating whether agents can reason through real operational incidents, step by step.

    ORBIT: benchmarking multistep operational reasoning in ITOps

    Research internship, IBM Research
  • AcceptedQuantum ML · Security

    Quantum Machine Learning

    Exploring quantum-inspired context modelling for compact, fast intrusion detection.

    Quantum-Contextual Nano-LCM: A Lightweight Transformer for High-Performance IoT NIDS

    IEEE GLOBECOM Workshops 2026 (Security6G)

  1. 01

    Discover

    Understand the problem, define requirements, and identify meaningful opportunities.

  2. 02

    Architect

    Design secure, scalable systems with clear technical and business objectives.

  3. 03

    Build

    Develop, integrate, and validate intelligent products through iterative engineering.

  4. 04

    Evolve

    Deploy, measure, optimize, and improve as requirements change.

Built on trust

Let's create the next success story.

Meaningful technology begins with meaningful partnerships. Tell us what you're building.

Artificial Intelligence
PythonPyTorchLLMsRAGAgentic AIMachine Learning
Frontend
ReactNext.jsTypeScriptTailwind CSS
Backend
Node.jsExpressFastAPIREST APIs
Infrastructure
DockerKubernetesAWSCI/CD
Cybersecurity
Network SecurityIntrusion DetectionPrivacy-Preserving AI
Blockchain
SolidityMotokoIPFSWeb3
Quantum Computing
QiskitPennyLaneCUDA-Q

Let's build something extraordinary.