OverviewFAQ
Build, integrate, and automate with production‑ready AI that boosts efficiency, delights customers, and drives measurable ROI.
Sure Why Choose Us for AI & ML
- Enterprise‑grade delivery, fast. Proven implementations across complex CRM and SaaS ecosystems (Salesforce, SugarCRM, SuiteCRM) with clear SLAs.
- End‑to‑end ownership. Strategy → data pipelines → model development → integration → MLOps & monitoring.
- Agentic AI & RAG experts. Guardrailed LLM apps with deterministic tools, vector search, and evaluators.
- Rapid PoC/MVP (2–6 weeks). De‑risk with quick wins and a production roadmap.
- Integration‑first mindset. Connect AI to your apps, data warehouses, ERPs, contact centers, and BI tools.
- Security & governance. PII handling, encryption in transit/at rest, RBAC, audit logs, model versioning.
- Flexible engagement. Fixed‑bid, milestone‑based, or T&M – aligned to business outcomes.
Our AI & ML Services
AI Solutions
AI Agents & Agentic Workflows
Agent orchestration, tool use, planning/execution, multi‑step automations
Conversational AI & Chatbots
Web, mobile, WhatsApp, contact‑center bots; intent detection; human handoff
Retrieval‑Augmented Generation
Private knowledge search, document Q&A, policy‑aware responses
Generative AI Solutions
Text, code, image, and document generation with guardrails
AI Implementation & Optimization
Hallucination reduction, latency & cost tuning, prompt/system design
Natural Language Processing
Classification, NER, summarization, semantic search, topic mining
ML & Data Science
AI PoC & MVP
Hypothesis design, success metrics, validation plans
Predictive Modeling & Forecasting
Churn, CLV, demand, time‑series forecasting
Computer Vision Model Development
Detection, OCR, quality control, safety
Personalization & Recommenders
Next‑best‑action, product/content ranking
AI Integration & MLOps
CI/CD for models, feature stores, monitoring, A/B & offline evals
NLP Model Development
Fine‑tuning, adapters/LoRA, distillation, evaluation
Data Engineering & Pipelines
ETL/ELT, lakehouse design, data quality
Speech, Text, Video & Image API Configuration
OpenAI, Anthropic, Google, AWS, Azure Cognitive Services, and more
Industry‑Focused AI You Can Deploy Today
Who We Help
- Startups – ship AI‑powered products fast
- SMBs – automate workflows affordably
- Enterprises – scale AI/ML across business units
- Tech Companies – custom models, features, and integrations
- Service Providers – elevate CX with AI copilots & bots
- Product Companies – add AI‑driven features & recommendations
- Consulting Firms – white‑label expertise for client outcomes
How We Work (Industry‑Tailored Process)
- Discovery & Consulting – Use‑case and ROI mapping by industry
- Data Preparation & Model Design – Governance, features, architecture
- Prototyping (PoC/MVP) – Validate value in weeks, not months
- AI/ML Development & Integration – Connect to your apps and data
- Testing & Validation – Human‑in‑the‑loop, regression, safety & bias checks
- Deployment, MLOps & Support – Observability, retraining, and SLAs
Case Studies & Use Cases
- Support Copilot & Chatbot (SaaS) – 35 – 40% ticket deflection within 90 days; CSAT +12 pts; seamless agent handoff
- Predictive Sales Scoring (B2B) – 20 – 25% lift in MQL → SQL conversion; faster lead response with auto‑prioritization
- Healthcare Intake Assistant – 30% reduction in average intake time; accurate triage with policy‑aware RAG
We can tailor a demo to your domain.
Tools & Technologies
| LLM Platforms | Frameworks | ML Stack | Vector & Search | Data & Infra | MLOps & Infra | Cloud | CRM & App Integrations |
|---|---|---|---|---|---|---|---|
| OpenAI, Anthropic, Google Gemini, Cohere, open‑source LLMs | LangChain, LlamaIndex, FastAPI, Transformers | PyTorch, TensorFlow, scikit‑learn, XGBoost, ONNX | Pinecone, Weaviate, FAISS, Milvus, Elasticsearch, OpenSearch | Snowflake, BigQuery, Redshift, Postgres, MongoDB, Kafka | MLflow, DVC, Airflow, Docker, Kubernetes, SageMaker, Vertex AI, Azure ML | AWS, Azure, GCP | Salesforce, SugarCRM, SuiteCRM, HubSpot, Zendesk, Service Cloud, Contact‑center APIs |
Why Businesses Need AI & ML
Operational efficiency
Automate repetitive tasks and reduce cycle times
Cost savings
Optimize support, marketing, and back‑office workflows
Personalization
Tailor experiences to segments and individuals
Decision intelligence
Forecast demand, prioritize leads, and manage risk
New revenue
Launch AI‑driven products, upsell, and cross‑sell
Ready to Build?
Let’s Build Your AI‑Powered Future
What is RT Dynamic's expertise in ML-AI?
RT Dynamic specializes in harnessing the power of data and algorithms to deliver cutting-edge AI solutions tailored to specific business needs. Our team of expert AI software developers provides bespoke AI software development services that drive your business forward.
How do you ensure the quality and accuracy of your ML-AI models?
RT Dynamic prioritizes quality and reliability in its AI solutions. We employ rigorous testing and validation processes to ensure the accuracy and effectiveness of our models. Our team of experienced AI developers follows industry best practices and utilizes advanced methodologies to deliver high-quality results.
What services do you offer in the field of ML-AI?
RT Dynamic offers a comprehensive suite of AI and ML services, including:
- Natural Language Processing
- Sentimental Analysis
- Keyword Analysis
- Statistical Analysis
- Context Analysis
- Generative model training
- Supervised and Unsupervised learning
How do you tailor your ML-AI solutions to meet the unique needs of different clients?
RT Dynamic understands that each industry has its specific challenges and requirements. We work closely with our clients to understand their unique needs and develop customized AI solutions that address their specific pain points. Our team of experts has experience in various industries, including healthcare, finance, and manufacturing, allowing us to deliver tailored solutions.
What ML-AI technologies and frameworks do you specialize in?
RT Dynamic stays up-to-date with the latest advancements in AI and ML technologies. We leverage popular frameworks like TensorFlow, PyTorch, and Scikit-learn to build our solutions. Our team of AI developers is skilled in using these tools to create efficient and effective AI models.
How do you stay updated with the latest advancements in ML-AI?
RT Dynamic maintains a culture of continuous learning and innovation. Our team actively follows research papers, attends conferences, and participates in online communities to stay updated with the latest trends and developments in AI. This ensures that our solutions incorporate the most recent advancements in the field.
Can you describe the project development process from start to finish?
Project Development Process at RT Dynamic:
- Requirement Gathering and Analysis:
- We work closely with clients to understand their specific needs, goals, and challenges.
- We conduct thorough analysis to identify the most suitable AI and ML techniques for the project.
- Data Collection and Preparation:
- We gather relevant data from various sources, ensuring data quality and completeness.
- Data is cleaned, preprocessed, and transformed into a suitable format for model training.
- Model Development and Training:
- We select appropriate algorithms and architectures based on the project’s requirements.
- Models are trained on the prepared data using advanced techniques and optimization methods.
- Model Evaluation and Validation:
- We evaluate the trained models’ performance using appropriate metrics and validation techniques.
- We iterate on the model development process to improve accuracy and address any shortcomings.
- Deployment and Integration:
- We deploy the final model into the client’s production environment.
- We integrate the model with existing systems or develop custom applications.
- Monitoring and Maintenance:
- We continuously monitor the model’s performance and address any issues that may arise.
- We update the model as needed to adapt to changing data or requirements.
- Ongoing Support and Optimization:
- We provide ongoing support and maintenance to ensure the model’s effectiveness.
- We explore opportunities to optimize the model’s performance and address emerging challenges.
This iterative process allows us to deliver high-quality AI and ML solutions that meet our clients’ specific needs and drive business value.