SUSINIDUINTERACTIVE
CASE STUDIES & TECHNICAL EVIDENCE

Work & Experiments

We demonstrate real capability before claiming scale. Each case study below reflects production software, multi-agent systems, or foundational language research shipped by our team.

FLAGSHIP PRODUCTClinical Examination Simulation
Visit Molarity ↗2025 – Present

Molarity: AI-Powered Clinical Simulation & Assessment

Molarity explores how conversational AI can simulate authentic clinical examination scenarios and provide structured, rubric-aligned candidate assessment and evidence-linked feedback. Rather than relying solely on static flashcards or multiple-choice questions, candidates engage in natural voice consultations with simulated patient personas.

Technical Architecture Highlights

Conversational Actor

Dynamic prompt state machines acting out symptomatic illness, emotional hesitation, and history revelation.

Low-Latency Voice

High-throughput audio streaming enabling human-speed medical dialogue directly in the browser.

Clinical Rubrics

Multi-dimensional evaluation measuring history-taking thoroughness, empathy, differential diagnosis, and timing.

Candidate Analytics

Structured remediation reports providing timestamped dialogue evidence for candidate revision.

Conversational AISpeech PipelineClinical SimulationAssessment RubricsNext.jsWeb Audio API
SIMULATION IN PROGRESSROOM #04 // CARDIOLOGY
[SIMULATED PATIENT]“Doctor, the chest tightness started around 6 PM yesterday while I was climbing the stairs. It felt like an intense pressure...”
[CANDIDATE INQUIRY]“Did the sensation radiate to your left arm or jaw? Any accompanying shortness of breath or nausea?”
[RUBRIC EVALUATOR ENGINE]✓ Red flag symptom exploration: Radiation (Passed)
✓ Associated autonomic features: Nausea/Diaphoresis (Passed)
Score: 94% on History Thoroughness
Engine: Molarity Core 2.0Status: Active
AUTONOMOUS EXPERIMENTMulti-Agent Publishing Engine

SiBuzz: Multi-Agent Sinhala Media Publishing System

SiBuzz was built as an end-to-end experiment in autonomous multi-agent content research, natural language synthesis, and automated publishing tailored for Sinhala-speaking diaspora communities in the United Kingdom.

Rather than viewing it as a conventional media outlet, Susinidu treated it as an architectural test: can an agentic loop reliably ingest real-time news, synthesize culturally coherent Sinhala articles, verify factual consistency, and publish autonomously to production without human-in-the-loop bottlenecks?

Execution Pipeline
UK News IngestionMulti-Agent VerificationSinhala SynthesisAuto Deployment
Multi-Agent PipelinesSinhala NLPFact VerificationAutomated CMSDistributed Scraping
ENGINEERING OUTCOME

Demonstrated that multi-agent research and localized translation agents can operate reliably at scale. Served actual traffic to UK readers with high uptime, validating our pipeline architecture.

• Articles Generated & Indexed: Hundreds
• Human intervention: 0% on routine runs
• Domain: sibuzz.uk
Status: Completed R&D Experiment
CORE RESEARCHSpeech Technology & Low-Resource NLP

Sinhala TTS: Neural Speech Synthesis Research

One of the earliest foundational research efforts at Susinidu Deep Tech. While major global models prioritized English, Spanish, and Mandarin, Sinhala remained underrepresented in natural-sounding neural acoustic text-to-speech.

We engineered custom phonetic mapping systems, tokenizers for complex Sinhala script conjuncts, and trained lightweight acoustic models capable of synthesizing conversational speech for voice assistants and automated reading.

Grapheme-to-Phoneme
Rules-based and neural phonetic converters for Sinhala diacritics and ligatures.
Low-Resource Acoustic
Acoustic neural vocoders optimized for edge synthesis without cloud latency.
Research Impact

This speech technology laid the foundation for our ongoing work in low-latency voice pipelines, which today powers interactive clinical actors in Molarity.

Heritage: Susinidu Deep Tech (2019)
IN PROGRESS // 2027 HORIZON

Interactive Web 3D & Procedural Simulation

Currently engineering lightweight WebGL and WebGPU interactive toys, browser 3D physics playgrounds, and realtime multiplayer character sync.

Explore the interactive labs prototypes