What Snowflake Consulting services does Techno Exponent offer?

We offer generative AI model development, GPT integrations, generative AI consulting, GAN development, LLM testing and fine-tuning, generative AI model replication, RAG solutions, and ongoing support and maintenance. This covers the full lifecycle, so you don't need multiple vendors.

What is RAG, and why does my business need it?

Retrieval-Augmented Generation (RAG) connects a language model to your own documents and knowledge base, so its answers are based on your data rather than generic training data. Our RAG solutions cover document ingestion, chunking strategy, embedding model selection, vector store design, and reranking. This improves retrieval precision and reduces hallucinations.

Should we fine-tune a model or use RAG?

It depends on your goal. RAG suits use cases where answers must come from frequently updated documents. Fine-tuning suits cases where you need better domain accuracy, a consistent tone, or fewer hallucinations. We assess your data and requirements during the discovery and design phases and recommend the right approach. Many projects combine both.

Can you deploy generative AI on-premise or in a private cloud?

Yes. Open-weight models such as Meta Llama 4 and Stable Diffusion can be deployed in your own infrastructure. This suits organizations that need full control over their data.

How do you keep our data secure and compliant?

Security and compliance are built into the architecture from day one. This includes data access boundaries, PII handling, audit logging, and regulatory compliance. Every integration also has structured access controls and data governance.

Do you build HIPAA-compliant generative AI for healthcare?

Yes. We build HIPAA-compliant systems for clinical documentation, medical summarization, patient communication, and knowledge retrieval. They are designed to reduce administrative burden while keeping the accuracy and auditability healthcare requires.

Which industries do you build generative AI solutions for?

We serve startups, healthcare, banking, financial services and insurance, retail and eCommerce, logistics and supply chain, IT, manufacturing, education and EdTech, marketing and advertising, real estate, government and public sector, and telecommunications.

What is a GAN, and when should we use one?

A Generative Adversarial Network (GAN) generates realistic synthetic content. We design GANs for synthetic data generation, image and media synthesis, data augmentation, and domain-specific creative applications. Each GAN comes with an evaluation framework to validate quality before production.

How do you test and monitor the quality of AI outputs?

We use LLM testing frameworks that measure output quality, consistency, and regression across model versions. We also set up observability on every generation, retrieval call, and model decision. After launch, we monitor output quality and refine prompts and retrieval over time.

What happens if the AI gives a wrong or unsafe answer?

Every system is tested against edge cases, failure scenarios, and adversarial inputs before launch. Fallback handling, output validation, and human escalation paths are built into every deployment.

What does your Snowflake Consulting process look like?

We follow five stages: Discover: use cases, data quality, system environment, and success metrics. Design: model selection, RAG architecture, security model, and evaluation criteria. Develop: fine-tuning, prompt engineering, pipeline build, and integrations. Deploy: staged rollout with full observability and minimal disruption. Optimize: post-launch monitoring and refinement as your needs evolve.

How do you measure the success of a generative AI project?

We define measurable success metrics at the start of every engagement. These include output accuracy, processing time, cost per generation, and user adoption. Development is then built toward those numbers.

What engagement models do you offer?

You can choose project-based development or a dedicated team. Our hiring models include part-time (40–80 hours per month), full-time (160 hours per month), and fixed price.

How do I hire generative AI developers from Techno Exponent?

It takes three steps: access our talent pool, shortlist and select candidates, and kick off the project.

Do you provide support after the solution goes live?

Yes. Our support and maintenance service covers model updates, prompt refinements, integration changes, performance monitoring, and rapid-response engineering support.

How can I get started or get a quote?

Use the "Speak to an expert" button on this page, or schedule a 30-minute meeting with our team. You can also reach us through the contact page to discuss your project.

Snowflake Consulting Services

Snowflake consulting is a professional service offered by Techno Exponent that helps businesses plan, migrate to, and optimise the Snowflake cloud data platform for analytics, data sharing, and AI. Techno Exponent’s Snowflake consultants design scalable architectures, migrate legacy warehouses, build data pipelines, and control credit costs, so your data delivers faster business results.

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Snowflake Strategy and Architecture Consulting

We start by reviewing your current data systems, reports, and costs. Then we design a Snowflake setup around your business goals: how your accounts and databases are organised, how your data is structured for analysis, how much computing power each team needs, and a step-by-step roadmap that delivers your highest-priority needs first.

Snowflake Migration Services

We move data, schemas, stored procedures, and workloads from Teradata, Oracle, SQL Server, Netezza, Hadoop, Amazon Redshift, Google BigQuery, and Azure Synapse to Snowflake, with validation at every stage to protect data accuracy.

Snowflake Data Engineering and Pipelines

We build reliable batch and near-real-time pipelines using Snowpipe, Streams, Tasks, Dynamic Tables, dbt, Fivetran, Airflow, and Kafka, so clean data reaches your teams on time.

Snowflake Cost and Performance Optimisation

We tune warehouse sizing, auto-suspend rules, clustering, query design, and resource monitors, so you stop paying for idle compute and slow queries.

Snowflake Data Governance and Security

We implement role-based access control, dynamic data masking, row access policies, tagging, lineage, and audit logging, so sensitive data stays protected and compliant.

Snowflake Data Sharing and Marketplace

We set up Secure Data Sharing, reader accounts, and data products so you can share live data with partners and customers without copying or moving it.

Analytics and BI Enablement

We connect Snowflake to Power BI, Tableau, and Looker, and build semantic layers and curated data marts that give every team one trusted version of the numbers.

Snowflake AI and ML Solutions

We use Snowpark, Snowflake Cortex, and Snowflake ML to build machine learning models, LLM-powered search, and AI applications that run next to your governed data.

Snowflake Training and Managed Support

We train your internal team and provide ongoing monitoring, incident response, cost reviews, and platform upgrades after go-live.

What Drives the Cost of a Snowflake Project?

Snowflake project costs depend on data volume, source-system complexity, migration scope, security needs, and ongoing platform usage. Two costs matter separately: the consulting engagement, and the Snowflake credits you consume afterwards.

Number and type of source systems
Data volume and quality
Migration approach (lift-and-shift, re-platform, or re-architect)
Number of pipelines, transformations, and reports to rebuild
Security, governance, and compliance requirements
Testing and reconciliation depth
Team size and engagement model

Item	Typical Range (USD)	Timeline
Snowflake architect/data engineer	$ 15-25 USD/Hour	Minimum 8 hours
Data pipeline development (ELT, ingestion)	$ 15-25 USD/Hour	Minimum 8 hours
Migration and data validation	$ 15-25 USD/Hour	Minimum 8 hours
BI and reporting enablement	$ 15-25 USD/Hour	Minimum 8 hours
Security, governance, and compliance review	$ 15-25 USD/Hour	Minimum 8 hours
Cost and performance audit	$ 15-25 USD/Hour	Minimum 8 hours

Item

Typical Range (USD)

Timeline

Snowflake architect/data engineer

$ 15-25 USD/Hour

Minimum 8 hours

Data pipeline development (ELT, ingestion)

$ 15-25 USD/Hour

Minimum 8 hours

Migration and data validation

$ 15-25 USD/Hour

Minimum 8 hours