AI agents & copilots
Agents that read, reason and act inside your tools: they call your APIs, follow your approval rules and leave a full audit trail of every step.
AI agents, built for the enterprise
AI agents that do real work, safely, at scale.
Vantorra designs, builds and operates custom AI agents and systems for companies where accuracy, security and uptime are not optional. From a validated use case to software your teams rely on every day.
140+AI systems in production
11 wksMedian pilot to go-live
96%Clients who extend after pilot
0Client data used to train third-party models
Trusted in regulated industries
1 teamStrategy, ML and platform engineers, start to finish
4 officesLondon, Dubai, Bengaluru and remote
Why Vantorra
Most AI pilots never reach production. Ours are built to.
Demos are easy. Systems that stay accurate, pass a security review, plug into your platforms and earn the trust of the people using them are hard. That second part is the work we specialise in.
Outcome firstEvery engagement starts with a business metric and a baseline.
Model agnosticThe right model for each job, and the freedom to switch.
Your environmentDeployed in your cloud. Your data and prompts stay yours.
Built to hand overDocs, runbooks and training so your team can own it.
Services
End-to-end AI capability, from strategy to operations.
Engage us for one workstream or the full lifecycle. Every service is delivered by senior practitioners who have shipped AI in production.
AI strategy & roadmap
We rank use cases by value and feasibility, then turn them into a costed 12-month roadmap.
Knowledge & search
Retrieval over your documents and data, with answers that cite sources and respect access rights.
Predictive ML
Forecasting, risk scoring, anomaly detection and vision models tuned to your decisions.
Governance & MLOps
Evals, monitoring, red-teaming and controls aligned to the EU AI Act and ISO/IEC 42001.
Our approach
A delivery method that removes risk at every stage.
Each phase ends with a decision gate. You only commit to the next stage when the evidence supports it.
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Discover
Workshops, process mapping and a data audit. We agree the target metric, the baseline and what "good enough" means before any code is written.
You receive: a prioritised use-case shortlist and a costed plan.
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Prove
A working prototype on your real data, tested against an evaluation set your experts help build. Accuracy, latency and cost are measured from day one.
You receive: a live prototype and an evaluation report for your board.
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Build
Integrations, access control, guardrails, monitoring and load testing, deployed in your environment through your change process.
You receive: a production system that has passed your security review.
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Operate
We watch quality and spend, re-evaluate as your data changes, and train your teams to take ownership on your timeline.
You receive: monthly reviews, an SLA and a clear handover path.
Client results
Measured outcomes for teams that can't afford guesswork.
Client names are withheld under NDA. Full case studies and references are available on request.
Banking−62%time to process a commercial credit application
Credit memo agent for a regional bank
Drafts credit memos from financial statements and policy documents, with every figure traced to its source page for underwriter review.
Azure OpenAIRAGDoc extraction
Healthcare3.1 hrssaved per clinician per week on documentation
Clinical documentation assistant for a hospital group
Structured visit summaries and coding suggestions inside the existing EHR, running on private infrastructure to meet patient-data rules.
On-prem LLMFine-tuningEHR
Logistics+18%forecast accuracy across 4,200 SKUs
Demand forecasting for a 3PL network
Daily SKU-level forecasts combining order history, promotions and weather, feeding labour planning across 14 distribution centres.
Gradient boostingDatabricksMLOps
Engineering standards
If we can't measure it, we don't ship it.
Every agent we deliver has an evaluation suite that runs on each release. You see the same report we do.
- Evaluation before featuresReleases that fall below agreed thresholds are blocked automatically.
- Security by defaultSSO, role-based access, PII redaction and a full audit trail of every model call.
- Predictable costCaching, model routing and token budgets keep running costs forecastable.
- No lock-inClean interfaces between data, orchestration and model, so you can switch providers.
| Metric | Result | Threshold | vs. threshold |
|---|---|---|---|
| Answer groundedness | 96.4% | ≥ 94% | |
| Citation accuracy | 98.1% | ≥ 97% | |
| Correct refusals | 99.2% | ≥ 98% | |
| Tool-call success | 97.6% | ≥ 95% | |
| Latency, p95 | 1.8 s | ≤ 2.5 s | |
| Cost per 1k runs | $0.42 | ≤ $0.60 |
ResultThresholdTest set: 1,200 cases · PII leakage 0
Vantorra was the only firm that showed us an evaluation report before they showed us a demo. Eleven weeks later the agent was live, and our risk committee signed it off at the first review.
Ways to work with us
Start small, prove value, then scale.
Fixed-scope options with clear deliverables, so finance and procurement know exactly what they are approving.
2 weeks · fixed fee
Strategy Sprint
For leadership teams deciding where AI will pay off first.
- Executive and team workshops
- Data and platform readiness audit
- Ranked use cases with ROI estimates
- 12-month roadmap and budget
6 weeks · fixed feeMost chosen
Production Pilot
For teams with a defined use case who need evidence before scaling.
- Working agent on your real data
- Evaluation suite and baseline report
- Security and architecture review
- Go / no-go recommendation with costs
3+ months · monthly
Embedded Team
For organisations scaling several AI products at once.
- Dedicated cross-functional squad
- Shared platform and MLOps tooling
- Monthly performance and cost reviews
- Upskilling for your in-house team
Questions
What clients ask before we start.
Anything else? Our team replies within one business day.
Will our data be used to train public AI models?
No. We use enterprise model agreements with zero data retention, or run open models in your own environment. Your data, prompts and outputs are never used to train third-party models.
What exactly is an AI agent?
Software that uses a language model to plan and complete multi-step tasks: reading documents, calling your systems through APIs and drafting actions. Ours always work within permissions you set, and route high-impact steps to a person for approval.
Which cloud platforms and models do you work with?
AWS, Microsoft Azure, Google Cloud and on-premise GPU clusters, with models from OpenAI, Anthropic, Google, Meta, Mistral and others. We choose per use case on accuracy, cost and data residency.
How do you handle compliance and regulated data?
We map each system to your obligations at the start, including GDPR, HIPAA and the EU AI Act where relevant. Every project ships with a model card, a risk assessment and audit logging your compliance team can review.
Who owns the code and the models?
You do. All code, prompts, evaluation sets and fine-tuned weights produced for your project are assigned to you, and live in your repositories from day one.
Start a project
Tell us the problem. We'll tell you if AI is the answer.
Book a 45-minute strategy call with a senior partner. You'll leave with an honest view of feasibility, likely cost and a sensible first step.
- Emailhello@vantorra.ai
- Phone+44 20 4586 0193
- OfficesLondon · Dubai · Bengaluru