Neoteric Cogent Solution delivers research consultancy through a structured, collaborative, and results‑driven approach. Neoteric Cogent Solution (NCS) is a research‑first consultancy that blends academic rigor with industry speed. We help clients frame the right questions, design defensible methodologies, collect and analyze data, and convert findings into products, policies, and publications.
1. Insight‑Driven Research Framing
We start by understanding your vision, challenges, and context. Our experts conduct thorough literature reviews, identify knowledge gaps, and frame research questions aligned with your objectives.
2. Custom Methodology Design
We design ethical, robust, and discipline‑specific research methodologies. This includes experiment planning, sampling strategies, and compliance with ethical standards and regulatory guidelines.
3. Comprehensive Data Strategy
We guide you from data collection tool design (e.g., surveys, IoT sensors) to building secure pipelines, ensuring data quality, privacy, and compliance.
4. Advanced Analytics & Modeling
Our team applies statistical methods, machine learning, and domain‑specific models to derive actionable insights. We specialize in AI/ML integration, predictive analytics, and hypothesis testing.
5. Prototyping & Technical Implementation
We create prototypes, dashboards, and reference architectures to validate concepts and demonstrate feasibility before full‑scale deployment.
6. Publication & Dissemination Support
We help structure manuscripts, prepare visual materials, select reputable journals, and manage responses to peer review, ensuring your work reaches the right audience.
7. IP & Funding Enablement
From prior‑art searches and patent drafting to funding proposal preparation, we help secure resources and protect intellectual property.
What We Do (Core Service Pillars)
- Research Strategy & Road‑mapping
- Problem framing, hypothesis development, and measurable outcomes (OKRs/KPIs)
- Landscape reviews, patent scans, and white‑space analysis
- Multi‑year research roadmaps aligned to budget and risk
- Study Design & Methodology
- Quantitative, qualitative, and mixed‑methods designs
- Sampling plans, power analysis, instrumentation, and protocol drafting
- Ethics & compliance support (IRB/IEC templates, consent, data governance)
- Data Acquisition & Engineering
- Survey design, experimental setups, sensor/IoT data pipelines
- Dataset valuation, labeling standards, and data quality SLAs
- Secure data rooms; anonymization & de‑identification
- Advanced Analytics & Modeling
- Statistical inference, causal analysis, and A/B testing
- Machine learning & generative AI prototyping; MLOps hardening
- Forecasting, optimization, and decision intelligence dashboards
- Scholarly Communication & IP Enablement
- Systematic reviews, whitepapers, and publication support (journal/conference)
- Patentability assessment, invention disclosures, and claims drafting support
- Grant writing (Government/CSR), proposals, and technical narratives
- Translation & Go‑to‑Market
- Evidence‑backed product specifications and acceptance criteria
- Validation pilots, user studies, and regulatory pathways
- Tech transfer, licensing support, and commercialization playbooks
Domains We Serve
- Engineering & Emerging Tech: AI/ML, IoT & Mobile Sensor‑Cloud, Edge/Fog, Cybersecurity, Digital Systems, Computer Architecture, Networking
- Healthcare & Life Sciences: Digital health, clinical data analytics, biomedical signal processing, public health
- Public Policy & Social Impact: Program evaluation, monitoring & evaluation (M&E), social research
- Business & Operations: Market research, pricing experiments, process optimization, risk analytics
Our Method: NCS 6‑Stage Research Lifecycle
- Discover — Stakeholder interviews, problem reframing, success metrics
- Design — Study protocol, data schema, ethics, project plan
- Develop — Instrumentation, data pipelines, model baselines
- Deliver — Analyses, models, simulations, dashboards
- Decide — Insights workshops, scenario planning, recommendations
- Deploy — Pilot/field validation, documentation, change enablement
Each stage includes quality gates, versioned artifacts, and executive read‑outs.
Engagement Models
- Advisory Retainer: Part‑time research lead; weekly office hours; rapid reviews
- Project‑Based SOW: Fixed scope, milestones, and deliverables; hybrid teams
- Embedded Team: Dedicated researchers, data engineers, and analysts on site/remote
- Consortium/Grant Partnerships: Multi‑institution projects with shared IP
Typical Deliverables
- Research roadmap, protocols, and data dictionaries
- Systematic/scoping reviews; landscape & patent analyses
- Reproducible code notebooks, datasets, and MLOps pipelines
- Statistical analysis plans, experiment reports, and dashboards
- Whitepapers, manuscripts, posters, and pitch decks
- Compliance pack: IRB/IEC docs, DPIA, security and audit logs
Tooling & Infrastructure
- Data & Code: Python/R, Spark, SQL, Git, DVC, MLflow
- ML/AI: Scikit‑learn, PyTorch/TensorFlow, LLM ops, vector DBs
- Visualization: matplotlib/Plotly, BI dashboards (Power BI/Tableau)
- Collaboration: Notion/Confluence, Jira, Overleaf, LaTeX
- Security: Role‑based access control, encryption at rest/in transit, VPCs
Quality, Ethics & Security
- Reproducibility by default (versioned data/code; documented pipelines)
- Bias and fairness checks; model interpretability reviews
- Data minimization, anonymization, and federated options where applicable
- Alignment with ISO/IEC 27001 controls and GDPR‑style principles
Sample Case Snapshots
- Mobile Sensor‑Cloud (MSCR‑SaaS): Designed privacy‑preserving ingestion with lightweight cryptography (ASCON, LEA, TWINE), cutting transmission overhead by 28% while retaining fidelity.
- Healthcare Predictive Models: Built triage risk models with SHAP explanations; AUC ↑ 0.11 vs baseline; deployed monitoring for drift and fairness.
- Market Experimentation: Multi‑arm pricing experiment; causal uplift modeling revealed a 9–14% incremental conversion band; informed new price ladder.
Additional case studies available upon request.
Team & Leadership
A cross‑functional bench of PhDs, data scientists, solution architects, and domain experts. Advisors include faculty collaborators and industry veterans.
Collaboration Workflow & Timeline (Typical 8–12 Weeks)
- Week 0–1: Discovery & scoping, risks/assumptions register
- Week 2–3: Protocol & instrumentation sign‑off
- Week 4–6: Data collection & baseline models
- Week 7–8: Analysis, validation, and insights workshop
- Week 9–12: Pilot deployment, documentation, and handover
Pricing & Packages (Illustrative)
- Starter (4–6 weeks): Rapid review + study design + pilot analysis
- Growth (8–12 weeks): End‑to‑end project with dashboards and publication‑ready report
- Enterprise (Quarterly): Embedded team + roadmap + governance + MLOps
Custom quotes based on scope, data complexity, and compliance needs.
FAQs
Q: Can you support academic publication?
Yes—editing, formatting, journal selection, submission workflows, and response‑to‑reviewers.
Q: Do you handle sensitive data?
Yes—segmented environments, strict access controls, and audits. On‑prem and VPC options.
Q: Can you collaborate with our internal team?
We prefer it. We integrate with your SMEs, product owners, and IT.
Q: What about IP?
We honor client‑owned IP by default; joint IP available for co‑development.
Call to Action
Let’s convert your questions into measurable outcomes.
Email: contact@neotericcogentsolution.com
Book a Discovery Call: [Book Appointment]
Download Capability Statement: [PDF]
Microcopy for Website Blocks
- Badge Row: GDPR‑ready • Reproducible Research • Publication‑grade outputs • Secure by design
- Stats Teaser: 50+ studies | 12 domains | 90% client renewal
- Quote: “NCS helped us turn a complex idea into a validated, fundable product in 10 weeks.”
Optional Add‑Ons
- Long‑term monitoring, post‑deployment audits, and model governance
- Training workshops (research methods, statistics, MLOps)
- Grant scouting and consortium matchmaking