Grovetechs

Consulting services

• AI strategy and roadmapping: A discovery workshop audits business processes, identifies high-return AI opportunities, and creates a prioritized implementation roadmap.
• Generative AI consultancy: Solutions using large language models such as GPT-4, Claude, and Gemini, including prompt engineering, Retrieval-Augmented Generation (RAG) pipelines, custom chatbots, document intelligence, and AI-powered content generation.
• AI integration consulting: Connecting AI models and automation tools to existing CRMs, ERPs, websites, and internal tools through APIs and platforms such as n8n.
• AI automation consulting: Intelligent workflows for email handling, data extraction, report generation, and customer support.
• Voice and conversational AI: Voice assistants and conversational agents for customer service, internal help desks, and voice-enabled product features.
• AI analytics and predictive intelligence: Custom machine learning models and analytics dashboards for demand forecasting, churn prediction, trend identification, and data-driven decisions.

GroveTech Solutions states that it is model-agnostic and selects technology according to the use case. Its listed experience includes GPT-4, Claude, Gemini, Mistral, LLaMA, and custom fine-tuned models. The company also states that it builds working software, works across strategy, design, development, and deployment, integrates with existing tools, and designs systems with security and data privacy as foundational requirements.

Grovetech Solutions Services

Grovetech Solutions is a global software development and IT solutions company focused on AI, software development, and automation.

Core services

• Web development: Custom web applications, e-commerce solutions, CMS development, web applications, custom web apps, and maintenance and support.
• App development: Native and cross-platform mobile applications, including iOS and Android development.
• AI integration: Intelligent solutions powered by advanced AI models.
• Digital transformation: Modernization of businesses through technology.
• Custom software development: Scalable, maintainable full-stack applications built with modern technologies and agile methodologies.
• SaaS development: Full-cycle development, multi-tenant architecture, cloud infrastructure, and post-launch support.
• MVP development: Streamlined products focused on core functionality, with AI-assisted software development, dedicated offshore teams, and stated delivery timelines of 6–12 weeks.
• Data engineering and analytics: Data pipelines, data warehouses, and analytics solutions.
• IT staff augmentation: Skilled developers and dedicated teams to help fill skill gaps.
• DevOps and CI/CD: Software delivery automation and development workflow improvements.
• Legacy modernization: Cloud migration, microservices re-architecture, and technology-stack updates.
• Web3 and blockchain: Decentralized applications, smart contracts, and custom blockchain solutions.
• Cloud migration: End-to-end migration to AWS, Azure, and GCP.

AI Starter

• Price: $3,000–$8,000
• Timeline: 2–4 weeks
• AI audit and opportunity assessment
• Top three AI use-case recommendations
• Proof of concept for one AI feature
• AI strategy document and roadmap
• 30-day implementation support

Full AI Integration

• Price: $15,000–$40,000
• Timeline: 6–12 weeks
• Complete AI audit and strategy
• One to three production-ready AI features
• Full API integration into existing systems
• Automation workflow design and build
• Custom dashboards and analytics
• 60-day post-launch support

Enterprise AI

• Price: $40,000+
• Timeline: 12–24 weeks
• Enterprise-wide AI transformation
• Custom machine learning model development
• Multi-department automation programs
• Dedicated AI consultant team
• Advanced security and compliance
• Ongoing retainer available

The company states that pricing is fixed-scope and that clients will not receive surprise invoices. A free scoping call is available for clients who are unsure which tier fits.

1. AI audit and opportunity mapping — weeks 1–2: Consultants interview stakeholders, map workflows, identify the top 3–5 areas for measurable AI impact, and provide a written opportunity report with a prioritization matrix.
2. AI strategy and solution design — weeks 2–3: The team recommends AI tools and models, defines integration architecture and data requirements, creates a phased implementation plan, and establishes success metrics.
3. AI implementation and integration — weeks 3–8: Engineers develop custom APIs, connect AI models to existing systems, configure automation workflows, and build required interfaces or dashboards. Clients receive weekly progress updates.
4. Testing, launch, and optimization — week 8 onward: AI components are tested for accuracy, performance, and reliability. After deployment, outputs and model performance are monitored and fine-tuned based on real-world results.

The company also describes its broader software development process as discovery and planning, development, testing and quality assurance, and launch and support.

The company reports 60+ AI engagements, 98% client satisfaction, 12+ models used, and an average ROI of 3.8× on its AI consulting page.

Selected AI Projects

• HireAI — AI recruitment platform: A GPT-4 and semantic-vector-search job portal that cut resume-screening time by 50% or more. It includes resume parsing, pgvector semantic matching, and a recruiter dashboard, and was shipped as a production-ready MVP in eight weeks.
• Visura — AI visual search and personalized shopping: A retail experience using image search, CLIP embeddings, vector search, personalized shopping, a conversational shopping assistant, and smart bundles. It was built in 10 weeks.
• Paralex — Contract review platform: An enterprise legal platform with clause extraction, playbook compliance checks, a clause library, and side-by-side AI redlines. The project reduced review time from three hours to under 30 minutes and was built as a production-ready MVP in 12 weeks.

Client feedback

Website testimonials describe Grovetech as patient and facilitating, professional, supportive, and excellent. An AI consulting client reported that a custom chatbot automated 60% of incoming customer-support queries.

• Healthcare and MedTech
• Fintech and banking
• E-commerce and retail
• Legal and compliance
• EdTech and e-learning
• Manufacturing and Industry 4.0
• Real estate and PropTech
• Marketing and AdTech

Examples of sector solutions include clinical documentation automation, fraud detection, product recommendations, contract analysis, adaptive learning, predictive maintenance, property valuation, and AI copy generation.

Technology Stack

Models and AI APIs

OpenAI GPT-4o, Anthropic Claude, Google Gemini, Meta LLaMA, Mistral AI, and Groq inference.

Frameworks and orchestration

LangChain, LlamaIndex, CrewAI, Python/FastAPI, Hugging Face, and OpenCV.

Automation and integrations

n8n Workflows, Zapier/Make, REST APIs, WhatsApp/Slack bots, and Airtable.

Vector databases

Pinecone, Weaviate, Qdrant, and pgvector.

Cloud and infrastructure

AWS, Google Cloud, Docker, Supabase, and Azure OpenAI.