Turn complex data into actionable business insights
Strategy decks and proofs of concept rarely make it into the systems your teams use to decide and operate. Simform's data scientists set the use case priorities, build the data foundations and models behind them, and deliver the resulting forecasts and AI applications into the workflows your business already runs.
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Simform’s capabilities
Data science strategy & roadmap
Accelerate time to your first production deployment by matching use case selection to data readiness and business KPI impact. Simform runs a maturity assessment across your data, platform, and team readiness, then builds a sequenced roadmap with named use cases and KPI-linked milestones.
Engagements cover build-or-buy decisions for AI platforms, Center of Excellence design, and total cost analysis across the model lifecycle.
Data foundation for AI & ML
Keep model accuracy steady from testing through production with training data your team can trust, govern, and audit.
Simform builds feature stores and training pipelines, with quality validation and lineage tracking applied from the source to the model input. Synthetic data workflows and access controls support retraining, A/B testing, and regulatory audit requirements without redesigning the pipeline.
Predictive & causal modeling
Strengthen pricing, churn, and demand decisions with models that identify what actually drives outcomes and what's likely next.
Simform builds predictive models using ensemble methods, gradient boosting, and deep learning, applying causal inference when teams need to test the actual drivers of a specific outcome. Models include drift monitoring, fairness checks, and explainability, ensuring decisions remain auditable as business conditions change.
GenAI app development
Activate GenAI in customer service, document workflows, and internal knowledge search with applications that answer from your enterprise data.
Simform builds RAG pipelines, multimodal applications, and AI agent workflows on Azure AI Foundry, Databricks, and open frameworks. Each deployment ships with prompt engineering standards, evaluation harnesses, and a path to swap foundation models as the market evolves.
Precision, expertise, and tools that future-proof your AI/ML solutions
With Simform, you can better understand customer behavior and preferences, market trends, and the competitive landscape. We’ll help you build effective business strategies and ensure you derive maximum value from your data assets.
GenAI early-mover advantage
As early adopters of generative AI technologies, we help businesses move beyond experimental proofs of concept (PoCs) to deploy production-ready, scalable solutions with real-world impact.
ThoughtMesh GenAI accelerator
ThoughtMesh is our platform for building AI agents with corrective RAG, vectorization pipelines, and namespace-driven governance. It compress GenAI development time by up to 80% while keeping outputs validated and access controls in place.
Data readiness for large-scale AI
Successful AI initiatives rely on high-quality, well-structured data. With our data engineering expertise, we ensure your data is optimized and ready to support large-scale, high-impact AI implementations.
Comprehensive MLOps toolkit
Our MLOps toolkit streamlines the entire machine learning lifecycle–model training, data tagging, cleaning, quality control, and more–ensuring high standards for AI deployment and management.
Azure Data & AI competencies
With specialization in Azure Data and AI, we leverage the latest advancements in AI and data technologies, creating efficient data architectures for seamless model deployments and analytics.
Full spectrum AI/ML
We offer end-to-end AI/ML solutions, from Generative AI and document extraction to computer vision tasks like object detection and counting, delivering precise, domain-specific applications.
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Case Studies
Discover the many ways in which our clients have embraced the benefits of the Simform way of engineering.
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Hiren Dhaduk
Creating a tech product roadmap and building scalable apps for your organization.