Applied AI Infrastructure — Dhaka & Beyond

We don't build chatbots.
We build agents that execute.

PRAXIC Intelligence engineers deterministic, autonomous AI systems powered by our proprietary P.R.A.X.I.C. Inference Core — a centralized multi-agent orchestration engine that replaces unpredictable, monolithic LLMs with verifiable, structured execution.

Explore Products & Services → Inside the Inference Core
4
Core Industry Sectors
100%
Deterministic & Verifiable
Full
Technical Lifecycle SLA
0
Wrapper Products
About Praxic Intelligence

Built on a proprietary
Inference Core — not a wrapper.

PRAXIC Intelligence is an applied artificial intelligence infrastructure company engineering deterministic, autonomous systems for enterprise environments.

At the heart of our architecture is the Predictive Reasoning and Autonomous eXecution Inference Core — a centralized, proprietary engine that intelligently routes complex workflows to specialized, isolated sub-agents. This multi-agent orchestration ensures verifiable execution, data privacy, and output integrity across high-stakes environments.

Instead of generic chat wrappers, we build highly specialized Agentic Systems that transform static applications into reactive, autonomous platforms capable of executing complex, multi-step reasoning at enterprise scale.

Inference Core Architecture Multi-Agent Systems YOLO11 Computer Vision Persistent Memory Zero-Trust AI Security Full-Lifecycle Engineering
P.R.A.X.I.C. — Live System Status
Input Ingestion & Context Boundary
ACTIVE
Supervisor Router Agent (LangGraph)
ROUTING
Context & RAG Specialist Sub-Agent
RUNNING
Reasoning & Evaluation Layer
EVAL
Output Integrity Guardrail
VERIFY
Verified Production Action
✓ DONE
🧠
Centralized Inference Brain

State machine routing that replaces fragile monolithic prompts with deterministic orchestration.

🔒
Zero-Trust Isolation Layer

Strict input sanitization, API context verification, and output guardrails to prevent data leakage.

🎯
Isolated Sub-Agent Execution

Specialized agents execute domain tasks concurrently with continuous reasoning audits.

Founder & Chief Executive Officer

MD Saib Hossain

AI Engineer & ML Researcher · Institute of Advanced Research (IAR), United International University (UIU)

Supervised by Prof. Dr. Hasin Anupama Azhari at the Institute of Advanced Research (IAR), MD Saib Hossain spearheads research-to-production architectures in Safe & Sustainable Healthcare AI, Agentic LLM Orchestration, and Clinical Cancer Screening. His published research at IEEE ICCIT 2025 demonstrates multi-domain deep learning generalization across adult and pediatric domains, establishing the deterministic foundation behind the P.R.A.X.I.C. Inference Core and MedAgent suites.

Key Publications IEEE ICCIT 2025 (Fracture AI) IEEE ICCIT 2025 (BanglaSign) SCMPCR Medical Physics Article AFOMP Newsletter Contributor
Four Distinct Sectors

One Inference Core.
Four industry verticals.

A single, scalable engine powers structured logic and advanced automation across every sector we serve.

🏥
Flagship Live
Healthcare & Clinical Support

HealthTech & Clinical Intelligence

Powering diagnostic infrastructure like LungCare BD, our Inference Core evaluates unstructured clinical histories and computer vision parameters (YOLO11) — routing medical data to specialized diagnostic agents and delivering hallucination-free preliminary screening optimized for localized medical ecosystems.

YOLO11 Vision CT Screening Bethesda Cytology HIPAA Isolation Hallucination-Free
Launch MedAgent Demo →
📚
Live Demo
EduCare & Adaptive Learning

Persistent-Memory Learning Architectures

We replace amnesic chatbots with persistent-memory learning architectures. Rather than bloated foundation models, our core deploys specialized, efficient models that deliver structured answers, track individual student mastery across sessions, and generate adaptive, week-by-week learning roadmaps.

Cross-Session Memory Syllabus Parsing Socratic Guidance Adaptive Roadmaps Edge Models
Launch Tutor Demo →
🛡️
In Development
AI Security & Data Defense

Enterprise Defense & Adversarial Firewall

Functioning as an adversarial firewall, the Inference Core evaluates system inputs, API calls, and context protocols before they execute — providing a zero-trust isolation layer that sanitizes incoming data and enforces strict output guardrails to prevent prompt injections and data leakage.

Zero-Trust Prompt Injection Defense API Context Gate Output Sanitization AES-256 / TLS 1.3
Request Security Audit →
⚖️
Live Soon
HR Controls & Corporate Assessment

Automated Assessment & Hiring Pipelines

We orchestrate intelligent evaluation pipelines for enterprise hiring. The core handles CV text parsing, adaptive technical question planning, and real-time candidate evaluation — analyzing reasoning step-by-step against strict competency rubrics to remove bias from the recruitment lifecycle entirely.

CV Knowledge Graph Adaptive Question Trees Logic Rubrics ATS Integration Unbiased Scoring
Request Talent Demo →
Full Technical Lifecycle

We build, test, deploy, monitor,
and maintain. You scale.

We are a product-driven infrastructure company. If you have a concept, we engineer it into a fully active, market-ready product — handling every technical phase from architecture to long-term maintenance.

📐
Phase 01
Architect & Blueprint

Translating your business logic into state machine graphs, sub-agent schemas, and deterministic execution boundaries.

⚙️
Phase 02
Build Multi-Agent Core

Fine-tuning domain models, training computer vision backbones, and linking proprietary RAG knowledge graphs.

🛡️
Phase 03
Stress-Test & Red-Team

Adversarial testing against prompt injections, data leakage, alignment drift, and edge-case accuracy verification.

🚀
Phase 04
Deploy to Production

Zero-downtime integration into your cloud, private on-prem servers, or edge devices with encrypted inference.

📡
Phase 05
Monitor & Maintain

24/7 continuous telemetry, automated performance checkpoints, latency profiling, and model maintenance retainers.

View Engagement Tiers → Commission a Custom Build
Product Suite

Autonomous agents built
to execute, not chat.

See All Products →
🤖 Flagship · Live Soon

Praxic Interview Agent

Scale your hiring without scaling your bias. An autonomous agent that conducts technical interviews, evaluates reasoning depth, and generates structured candidate scorecards — at any volume.

  • Unbiased multi-round technical screening
  • Real-time logic & reasoning evaluation
  • Adaptive question tree generation from CV
  • ATS integration & structured reports
  • Top talent identification in minutes
Request Demo →
🏥 HealthTech Suite

Praxic MedAgent & LungCare BD

Clinical-grade AI that evaluates unstructured histories and computer vision parameters (YOLO11 & CT screening) — powered by verified RAG pipelines and HIPAA-aligned safety layers.

  • LungCare BD CT screening architecture
  • Cervical cytology Bethesda classification
  • Symptom triaging & clinician workflow
  • HIPAA-aligned zero-trust safety layers
  • Hallucination-free preliminary screening
View MedAgent Demo →
📚 Persistent Memory

PhiHunters & EduAgent

An intelligent tutoring architecture with long-term memory that parses syllabus files, diagnoses knowledge gaps, and generates adaptive weekly roadmaps personalized to every student.

  • Socratic dialogue-driven tutoring
  • Dynamic syllabus adaptation
  • Persistent student mastery tracking
  • Non-amnesic multi-session memory
  • Multi-subject domain expertise
Launch Live Demo →
Why Praxic

We engineer the infrastructure
others skip.

01

Zero Wrapper Philosophy

We don't repackage foundation models. We architect custom retrieval pipelines, fine-tune models for domain tasks, and build orchestration layers that actually think — not just respond.

02

AI Safety at the Core

Every agent we ship is verifiable. Our output integrity layer ensures agents behave predictably — even at edge cases that matter most in high-stakes healthcare and enterprise environments.

03

Built for the Global South

Engineered for emerging markets — cost-efficient inference, multilingual-ready architectures, and domain tuning for local enterprise contexts where generic models fail.

praxic_agent — interview_pipeline 
$ praxic init --domain interview --mode autonomous
// Initializing P.R.A.X.I.C. Inference Core v3...
system        multi_agent_orchestrator_v3
retrieval     advanced_rag_pipeline
safety        output_integrity_layer
bias_filter   enabled
// Loading candidate profile → CV parse → knowledge graph...
// Adaptive question tree → activated
mode          autonomous_execute
✓ Agent ready. Intelligence in Action.
Technical Foundation

Architected for
reliability at scale.

🧠
Foundation Models

Precision-tuned base models with domain-specific fine-tuning, not off-the-shelf prompting.

🔍
Advanced RAG

Hybrid retrieval pipelines with re-ranking, structured knowledge graphs, and hallucination mitigation.

🛡️
AI Safety Layer

Output integrity verification, bias auditing, and adversarial robustness built into every agent.

🔗
Multi-Agent Orchestration

Specialized sub-agents coordinating in real time — each scoped, monitored, and verifiable.

⚡
Optimized Inference

Quantization, batching, and caching strategies built for cost-efficiency in emerging markets.

🌐
Multilingual Ready

Architectures designed for low-resource languages and Global South deployment contexts.

📊
Observability

Full reasoning trace logging, latency profiling, and evaluation dashboards for every production agent.

🔒
Enterprise Security

Data isolation, encrypted inference pipelines, and compliance-first architecture design.

The Praxic Engine

Inside our execution-native
Multi-Agent Graph.

📥
Input Ingestion Layer

Raw CVs, clinical text, or user data are tokenized and processed through an isolated context boundary.

Signed Context Protocol
🎛️
Supervisor Router Agent

A centralized LangGraph state machine that manages conditional routing, state tracking, and sub-agent loop delegation.

LangGraph State Machine
🔍
Context & RAG Specialist

Fetches verified clinical benchmarks or technical rubrics. Structural reranking prevents hallucinated data retrieval.

Hybrid Knowledge Graphs
⚖️
Reasoning & Evaluation Layer

Runs deterministic test gates over candidate logic maps or risk metrics, calculating unbiased grading scoring matrices.

Quantized Fine-Tuned Models
🛡️
Output Integrity Guardrail

Acts as an adversarial critic. Validates structured JSON, audits for alignment drift, and checks tool safety parameters before compiling.

Alignment Guardrails
🚀
Verified Production Action

Outputs fully safe, structured career paths, candidate scorecards, or secure clinical workflow triggers.

Deterministic Execution
🔒
Data Isolation

Your data is never used to train public foundation models. Ever.

🛡️
Enterprise Encryption

AES-256 encryption at rest and TLS 1.3 in transit across all pipelines.

⚖️
Local Compliance Ready

Designed in accordance with local data protection frameworks and HIPAA guidelines.

Ready to deploy
verifiable AI?

Commission a bespoke multi-agent build, explore our 4 core vertical architectures, or join the early access list. We build, test, deploy, monitor, and maintain — you focus entirely on your business.

Commission Custom AI Build → Explore Products Page

Engineered with precision. Applied globally.