Very
Very builds AI-powered enterprise applications that turn data into intelligent automation and insights—deployable in the cloud or at the edge. They specialize in Generative AI and LLM development.
- 4.9
- Average rating
- 10
- Mapped reviews
- 100%
- Profile coverage
Company & commercials
- Primary category
- LLM Agents & RAG
- Team size
- 50-100 employees
- Typical budget
- $100K+
- Primary industry
- Retail, Wholesale & Consumer Goods
A clear view of what Very does best.
Structured from supplied company information and mapped to RankGlobal's controlled AI and industry taxonomy.
Very builds AI-powered enterprise applications that turn data into intelligent automation and insights—deployable in the cloud or at the edge. They specialize in Generative AI and LLM development. RankGlobal maps its primary capability to Generative AI Development within LLM Agents & RAG, with supporting relevance to Conversational AI, Digital Twins. Its strongest supplied industry signals align with Consumer Electronics & Appliances, Fitness & Wellness, General Manufacturing.
See how this profile was mapped →Platforms, methods and technical signals
Tools and platforms named in Very's supplied company profile.
Named expertise on file
- Generative AI & LLM Applications
Bridging the knowledge gap for IoT by using LLMs to simplify and interpret complex real-time sensor data for end-users.
GenAI for IoTRAGNLU - IoT & Connected Hardware
Delivering end-to-end IoT product development, from firmware and hardware engineering to cloud infrastructure.
IoTHardware EngineeringFirmware - Predictive Analytics
Utilizing digital twins and ML to identify data patterns and solve predictive maintenance use cases for physical assets.
Predictive ModelingDigital TwinData Science - Agile Tech Strategy
Partnering with firms to build future-ready, scalable IoT ecosystems through a phased, data-first approach.
IoT StrategyAgile DeliveryCloud Native
Mapped Evidence Report
A decision-support view of Very, built from mapped taxonomy signals, evidence confidence, commercial profile and reviews.
LLM Agents & RAG among 933 published providers
Imported mapping confidence for each category — not a share of work, revenue, or delivery volume.
Share of mapped industry rows on the taxonomy map — not share of work or revenue.
Imported mapping grades across 30 taxonomy mappings — not a search ranking.
What the mapped signals say
Very presents as a strong evidence profile for LLM Agents & RAG. It ranks in the 60th percentile of 933 published providers in LLM Agents & RAG, and 10 reviews back the commercial profile.
Evidence-led AI expertise.
Capabilities are listed with their mapping grade (Direct, Supported, Related, or Adjacent).
Featured 12 of 21 capabilities, ranked by mapping grade then confidence.
coreExpertise, technologies
Where this expertise is most relevant.
Industry mappings are organized by evidence strength so buyers can distinguish demonstrated alignment from broader search relevance.
Source industry: Consumer Electronics
What clients say.
Reviews and ratings published for this provider.
“If it's IoT, it's Very. They are the only ones who truly master hardware-software parity.”
“Their focus on 'Design for Manufacturing' saved us millions in hardware redesigns.”
“Pure Agile for IoT. They ship firmware updates with the speed of a web app.”
“Masters of Nerves and Elixir. Their edge-computing builds are incredibly resilient.”
“Highly collaborative and intellectual. They challenge us to build better, safer products.”
“Premium pricing, but their 'Total Cost of Ownership' focus is the best in the biz.”
“Reliable performance. They manage our global fleet of connected devices flawlessly.”
“Helping us bridge the gap with AI-at-the-edge. A brilliant and trusted partner.”
“Very is the gold standard for end-to-end IoT product engineering and strategy.”
10 published quotes on this profile.
Showing 9 of 10, ranked by display order then recency.
Ratings aggregate 10 reviews at the average shown above.
How RankGlobal maps this profile.
RankGlobal maps this profile against a controlled taxonomy. Mapping grades on capability and industry cards describe how the profile is classified. Source strength for ranking decisions follows the hierarchy published on Research— a mapping grade is not a claim of discoverability weight.
Direct, Supported, Related and Adjacent appear on mapped cards as classification grades. They do not rank how discoverable a provider should be.
RankGlobal trust center →Move from discovery to a focused conversation.
Your enquiry goes to the RankGlobal research team, not the provider's sales inbox. Sending it does not affect their ranking.
What RankGlobal holds on file for Very, and the three things worth confirming directly once you're in touch.
- Primary category
- LLM Agents & RAG
- Primary industry
- Retail, Wholesale & Consumer Goods
- Typical budget
- $100K+
- Team size
- 50-100 employees
- 1Name the use case
Say which LLM Agents & RAG problem you are evaluating, so the research team can route your message accurately.
- 2Pressure-test the budget band
The $100K+ band on file is a profile-level figure. Ask what a scope like yours actually lands at.
- 3Ask for a reference
Request a client reference in Retail, Wholesale & Consumer Goods — the strongest industry signal on this profile.
Three fields. Anything longer belongs on the full contact page, linked below.
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