Conversational AI & Copilots
Customer and staff assistants grounded in your data, that take real actions — refunds, bookings, updates — with guardrails and audit trails.
AI Solutions · Autonomous Agents · Intelligent Automation
Intelligence, engineered.
Vymavix designs, builds and deploys AI that actually does the work — autonomous agents, generative systems and predictive engines wired straight into your business.
01 / Solutions
One core. Twelve ways to put AI to work.
Every Vymavix solution orbits the same engineering core — secure data pipelines, evaluated models and production-grade infrastructure. Hover or tap a node to explore.
VYMAVIXCORE
02 / Agent Studio
Watch a multi-agent crew solve a real task.
Our agents don't just chat — they plan, call tools, check each other's work and hand back results you can trust. This is a live simulation of how a Vymavix crew runs.
vymavix-crew · run #4821
03 / Capabilities
Built for the messy real world.
Computer Vision
Quality inspection, document capture, safety and inventory — vision models that run in the cloud or on the edge.
Voice AI
Natural phone agents and voice interfaces with sub-second latency, multilingual support and human hand-off.
Predictive Analytics
Demand forecasting, churn, pricing and risk models that turn history into decisions.
Intelligent Automation
End-to-end workflows that read, decide and act across email, ERPs, CRMs and spreadsheets — replacing hours of manual effort with minutes.
RAG & Knowledge
Ask anything across PDFs, wikis, tickets and databases — with citations, permissions and freshness built in.
Model-agnostic. We build with the best tool for the job.
ClaudeGPTGeminiLlamaMistral
LangGraphPythonpgvectorAWSAzureGoogle CloudCloudflare
04 / ROI Calculator
What is repetitive work really costing you?
Move the sliders to estimate what automating your team's repetitive work could free up each year. It's a rough guide — we'll give you a real number after a discovery call.
Potential annual value
£0
0hours freed per year
0full-time people freed for higher-value work
05 / Process
From idea to production in weeks, not quarters.
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01
Discover
We map your workflows, data and goals, then pinpoint where AI delivers measurable ROI first.
Week 1 -
02
Prototype
A working proof-of-value on your real data, evaluated against clear success metrics.
Weeks 2–4 -
03
Deploy
Hardened, secure and integrated into your stack — with monitoring, guardrails and human-in-the-loop.
Weeks 5–8 -
04
Evolve
Continuous evaluation, retraining and new agents as your business — and the models — improve.
Ongoing
06 / Industries
AI that speaks your industry.
Pick an industry to see what Vymavix agents and automations typically take off a team's plate.
0AI solution areas under one roof
0agents that never clock off
0or less to a working pilot
0your data, your ownership
07 / Ways to work with us
Start small. Scale what works.
Recommended first step
Discovery Sprint
1–2 weeks
- Workflow & data audit
- Ranked AI opportunity map with ROI estimates
- Feasibility check on your real data
- Practical roadmap you keep — whoever builds it
Prove it
Pilot / Proof of Value
3–6 weeks
- One working agent or automation on live data
- Agreed success metrics & evaluation suite
- Security & compliance review
- Go / no-go with a clear business case
Scale it
Build & Partner
Ongoing
- Production deployment & integrations
- Monitoring, guardrails & human-in-the-loop
- Continuous improvement & new agents
- Team training and AI governance
Model-agnostic
We pick the right model for the job — frontier, open-source or custom fine-tuned.
Secure by design
Private deployments, role-based access, PII redaction and full audit logs.
Measured, not hyped
Every system ships with evaluations, dashboards and clear success metrics.
08 / FAQ
Questions, answered.
What exactly is an "AI agent"?
An AI agent is software that uses a language model to plan and take actions — searching documents, calling your APIs, updating systems, sending messages — rather than only generating text. We design agents with clear permissions, approval steps and audit logs so they're safe to run on real work.
Is our data safe? Will it be used to train public models?
Your data stays yours. We use enterprise model endpoints that don't train on your data, can deploy into your own cloud account, and apply role-based access, PII redaction and logging by default.
How quickly can we see results?
A Discovery Sprint takes 1–2 weeks, and most pilots reach a working system on real data within 3–6 weeks. We prioritise the use case with the fastest, clearest return first.
Do we need clean data or an in-house AI team?
No. Part of our job is getting your data into usable shape and integrating with the tools you already use. We also train your team so you're never locked in.
Which AI models do you use?
We're model-agnostic: Claude, GPT, Gemini, open-source models like Llama and Mistral, or custom fine-tuned models — chosen per use case for quality, cost, latency and data-residency needs.
What does it cost?
It depends on scope. Discovery Sprints and pilots are fixed-price so you know the cost up front; ongoing work is a predictable monthly retainer. Tell us about your project and we'll send a clear proposal.
09 / Let's build
Have a process that should run itself?
Tell us what's slowing your team down. We'll come back within one business day with ideas, a rough plan and an honest view of what AI can (and can't) do for it.
anuradha@vymavix.com