AI R&D Centre
Artificial Intelligence
We conduct end-to-end research and applied development across the AI stack—from theory and models to real-world systems—to help partners innovate, digitise, and scale responsibly.
Research Coverage
- Foundations & Learning: classical ML, deep learning, self-supervised & transfer learning, RL, optimisation
- Perception & Vision: detection, tracking, OCR, document AI, 2D/3D understanding, multimodal fusion
- Language & Speech: ASR, NLU/NLG, retrieval-augmented systems, TTS, multilingual NLP
- Reasoning & Planning: tool-use, program-synthesis, decision support, scheduling/routing, knowledge graphs
- Generative & Multimodal AI: text, image, audio, video, code; controllable generation
- Edge & Systems AI: on-device inference, compression/quantisation, latency/throughput engineering
- Safety, Security & Ethics: xAI, bias audits, privacy, prompt-injection defense, red-teaming
- MLOps & DataOps: data pipelines, evaluation harnesses, monitoring, AB testing, lifecycle management
Data Science & Analytics
We turn raw data into decision intelligence—from exploration and baselines to forecasting, experimentation, and measurable uplift across products and operations.
Research Coverage
- Descriptive & Diagnostic Analytics: EDA, segmentation, cohort analysis
- Causal Inference & Experimentation: A/B tests, uplift modelling, quasi-experiments
- Forecasting & Time-Series: demand/supply, inventory, multivariate (TFT/LSTM/Prophet)
- Recommendation & Personalisation: ranking, next-best-action, content sequencing
- Process & Task Mining: bottleneck discovery, rework loops, automation candidates
- Risk & Quality Analytics: anomaly detection, defect trends, early-warning signals
- Data Engineering & Governance: lineage, quality rules, metadata/catalogue, access policies
- Visualisation & Storytelling: executive and operator-grade decision views
Mobile Apps (Voice-first & Edge AI)
We design mobile experiences where AI feels instant, private, and reliable—voice-first interfaces, on-device inference, and offline-first sync for the field.
Research Coverage
- Voice UX & Accessibility: wake-word, streaming ASR, TTS, bilingual/multilingual flows
- Edge AI: model compression/quantisation, NNAPI/Core ML, WebAssembly, privacy by design
- Sensors & Device Capabilities: camera/CV, BLE/IoT, geofencing, haptics
- Offline-First Engineering: conflict resolution, secure local storage, eventual consistency
- Performance & Reliability: cold-start, battery/thermal budgets, crash-free sessions
- Tooling & Delivery: CI/CD, feature flags, staged rollouts, telemetry
Software Development
We build the platforms that make AI useful at scale—secure APIs, admin consoles, observability, and deep integrations into ERP/CRM/LMS/MES.
Research Coverage
- Platform Architecture: microservices, event-driven, workflow engines, policy control
- Integrations: ERP/CRM/LMS/MES, webhooks, ETL/ELT, data contracts
- Data Services: vector search, caching, queues/streams, feature stores
- Observability & SRE: metrics, logs, traces, SLOs, error budgets, incident management
- Identity & Access: SSO (OAuth2/OIDC), RBAC/ABAC, audit trails, secrets management
- Compliance & Governance: logging, retention, approvals, reproducibility
- Developer Experience: SDKs, documentation, dev-portal, sandbox environments
Cyber Security for AI Systems
We secure AI applications and robotic systems end-to-end—from prompt and model abuse to data leakage, PII, and supply-chain risk.
Research Coverage
- Threat Modelling for AI/Robotics: attack surfaces, misuse cases, safety envelopes
- Adversarial & Abuse Testing: prompt injection, data poisoning, model evasion
- Privacy & Data Protection: PII detection/redaction, minimisation, DP-first design
- Identity, Access & Secrets: SSO/OAuth2, RBAC/ABAC, key and secret rotation
- Detection & Response: anomaly detection, SIEM integrations, incident drills
- Supply-Chain Security: SBOMs, dependency hygiene, build signing, provenance
- Compliance Readiness: ISO 27001 posture, DPDPA (India) alignment, SOC2-lite controls
