Solutions · Products
By product.
Generative AI software, built for operators.
Where a packaged product solves the problem better than a custom build, that is what we ship. Each product earns its place by surviving real workloads, runs self-host or SaaS, and stays model-portable underneath.
Our product thesis
Products earn their place when a packaged surface ships faster than a bespoke one — and not before.
The suite stays narrow on purpose. Each product is a problem shape that recurs often enough to justify a packaged answer. Where the shape does not recur, we route into Veso Labs as a service engagement instead — the product/service boundary is decided per engagement, not by sales tactics.
The suite
Four products, each a problem shape that recurs across our engagement portfolio.
FigChat
A Figma plugin using LLMs to create, transform, and innovate in Figma/FigJam files.
Built for
UI/UX Designers, Product Managers, Design Teams using Figma/FigJam.
Nexus
A no-code platform for building and deploying custom AI workflows across your teams.
Built for
Business teams (Marketing, Sales, Ops, HR), IT departments, citizen developers.
BidGenie
The AI-Native CRM designed to put sales and proposal generation on autopilot.
Built for
Sales teams, business development managers, proposal managers, B2B companies.
EveryPage
An intelligent platform for transforming business documents using AI.
Built for
Finance departments, legal teams, operations teams, research institutions, businesses with heavy document workflows.
How we ship product
Three claims that hold across every product in the suite.
Production-grade
Not demoware
Each product earns a place in the suite by surviving real customer workloads — not by looking good in a slide.
Self-host or SaaS
Deployment optional
Run in our cloud or inside your VPC. Same product surface, your data perimeter.
Vendor-agnostic
Model-portable
Underlying model providers are swappable per workspace. The product logic survives the model churn.
FAQ
Products — common questions
How does a Veso product differ from a Veso service engagement?
A product is a packaged piece of software with a defined surface — install, configure, use. A service engagement is custom delivery that builds for your specific data, integrations, and constraints. Most clients use both: a product where it fits, custom work where it does not.
Can products be deployed inside our own infrastructure?
Yes. Every product ships with a self-host path alongside the managed SaaS option. Customers in regulated industries — financial services, healthcare, legal — typically self-host inside their own VPC with their own model endpoints.
Are products tied to a specific model provider?
No. Model providers are swappable per workspace. A self-hosted deployment can run against Anthropic Claude, OpenAI GPT, Google Gemini, or self-hosted open-weights models (Llama, Mistral, Qwen). The product logic is designed to survive model-vendor churn.
Can a product be extended or integrated into existing systems?
Yes. Every product exposes a typed API for integration; most have published webhook and SSO contracts. For deeper customisation we route into Veso Labs as a service engagement — that is the path when the requirement crosses the product boundary.
Next
Need a custom build, or want to see a product against your own data?
Book a demo on the product that fits, read how we evaluate the underlying models, or talk to us about a Veso Labs build where the requirement crosses the product boundary.