Who we are
We engineer how AI behaves inside your business.
Aventisia is an AI engineering company. We help enterprises digitally transform their operations with AI, because we understand how it is engineered, layer by layer, from models and data to guardrails, evaluation, cost and model engineering.
What we do
Enterprise AI, built by experts.
Our engineers build and run our own AI platform in production. They bring that engineering experience to your projects: agents, data pipelines, instruction tuning, SLM tuning, analytics and more, and own the outcome end to end, from first pipeline to production governance.
Custom development of domain AI applications that bring AI and human oversight together around your process, engineered with the security, latency and reliability your business runs on.
- Domain-specific apps, built to your process
- Enterprise portals & workflow-centric web apps
- Role-based workspaces & human review queues
Deterministic and agentic agents across chat, email, voice and back-office automation, orchestrated with people and systems and kept accountable by human-in-the-loop controls.
- Multi-agent orchestration
- Tool & MCP integration
- Human-in-the-loop guardrails
Ingestion, transformation, vectorisation and quality pipelines that move unstructured and structured enterprise data into the shape AI needs, on your lakehouse or ours.
- Unstructured → structured extraction
- Embeddings & vector stores
- Lineage, quality & observability
Domain-specialised small language models, fine-tuned and evaluated on your data and deployed privately. Built for your tasks, at a fraction of the inference cost and latency of general-purpose models.
- LoRA / QLoRA & distillation
- Eval harnesses & red-teaming
- Private, on-prem inference
Conversational analytics, anomaly detection and predictive insights over your operational data, with answers that cite their sources and actions that flow back into workflows.
- Natural-language BI
- Forecasting & anomaly detection
- Insight-to-action automation
1from avintra import App, Retriever, guardrails23app = App("supplier-risk-desk")45retriever = Retriever(6 sources=["sharepoint://contracts", "sap://spend"],7 embed="bge-m3", rerank=True, top_k=8,8)910@app.route("/ask")11async def ask(q: str, user: User):12 ctx = await retriever.search(q, acl=user.groups)13 answer = await app.llm("claude-sonnet").generate(q, ctx)14 return guardrails.cite(answer, ctx) # every claim sourced
Not sure where to start?
Start with a discovery call
A clear diagnosis, a defined scope and measurable outcomes, before anything is built.
Book a discovery callHow we do it · Our engine
80% platform. 20% craft. 100% yours.
Most enterprise AI programmes spend months rebuilding the same plumbing. We start from Avintra, our production-hardened platform, so our engineering goes into the 20% that is unique to your process.
What the platform takes off your project
Weeks of engineering saved
Connectors, orchestration, model routing, human-in-the-loop, evals and access control already exist. We assemble them instead of building them.
No teething issues
Every component already runs in production across 200+ Avintra tenants, so pilots don't stall on first-release bugs.
No go-live delays
Governance, audit trails and ISO 27001 / SOC 2 controls are built in, so security and risk reviews don't hold up the launch.
The evidence
Most AI projects stall between pilot and production. Proven foundations change the odds.
success rate for AI bought from specialised vendors or built with partners. Internal builds succeed only a third as often.
of AI proofs of concept never reach wide-scale production. Only 4 in every 33 make it.
of agentic AI projects will be cancelled by the end of 2027, due to escalating costs, unclear business value or inadequate risk controls.
How we do it · Our platform
Avintra: four layers, one governed platform.
Every agent we build runs on the same four layers: configure it, connect it, run it and govern it. In our cloud or yours, and ready for your team to run and extend after go-live.
- Deterministic, rules-based agents where workflows control how AI output is consumed
- Agentic agents where AI works autonomously, with human approvals and validations where required
- Instructions, skills, knowledge bases and tools, reusable across agents
The same platform powers our engagements, the Avintra Cloud and the free, self-hosted Community Edition.
Why we're different
We know how AI is engineered, not just how it's configured.
Most AI vendors work in the front end: select a model, upload documents, switch on a filter. We understand how each of the seven layers is engineered in the back end, and that is what makes AI reliable, governed and economical in production.
- ConfiguredChoose a hosted model7Model EngineeringEngineeredData curationSLM fine-tuningQuantisationBenchmark evals
- ConfiguredSet a spend limit6Cost EngineeringEngineeredModel right-sizingCachingToken budgetsPay-per-run economics
- ConfiguredRate responses5Evaluation & ObservabilityEngineeredGolden datasetsAutomated evalsTracingRegression gates
- ConfiguredContent filter4Guardrails & Human-in-the-LoopEngineeredPolicy enginePII redactionApproval queuesRole-based access
- ConfiguredDrag steps onto a canvas3OrchestrationEngineeredState and retriesIdempotencyAgent hand-offsLong-running jobs
- ConfiguredUpload documents2Context & DataEngineeredChunkingEmbeddingsHybrid retrievalRetrieval evals
- ConfiguredSelect a model1Models & IntegrationsEngineeredModel routingFallbacksOn-prem servingTool and API contracts
Engineered to product standards
We build and run our own AI platform, so your solution is engineered, tested and versioned like a product, with documented architecture and maintainable code.
Built to pass security review
We engineer the guardrails, evals, audit trails and cost controls that security, risk and finance teams ask for, so AI gets approved and into daily use instead of stalling as a pilot.
Speed and agility from Avintra
Our own platform already does the heavy lifting, so we reach production in weeks, not quarters, and pivot a use case by recombining tested agents and connectors instead of rebuilding.
Technology-agnostic, always. Avintra is our accelerator, not a requirement. We engineer on your stack.
Proof points
Measurable outcomes, not pilots.
Live deployments across industries and business functions, from banking and finance to customer operations, legal and HR, each measured against a metric that matters to the business.
Trade finance platform
End-to-end supplier financing platform with AI invoice and bill-of-lading extraction, automated bank reconciliation and risk assessment.
“Technical excellence with deep business understanding.”
Payables automation
Line-level invoice extraction across 500+ vendor formats, duplicate-payment checks, 2/3-way match and human-in-the-loop exceptions.
“Improved efficiency, accuracy, and payables control.”
Bank reconciliations
16 bank accounts across 2 entities and 4 currencies, with one-to-many and many-to-many AI matching across 5 integrated systems.
“Drastically reduced manual effort and processing time.”
What our clients say
Trusted by enterprise teams.
Hear how leaders are deploying AI and automation at scale with Avintra and Aventisia.
“Touchless invoice processing now runs at 85% straight-through, and we finally capture early-payment discounts with a fully auditable exception trail.”
Where we work
AI across every function, in every form it takes.
A sample of the use cases we engineer across seven business functions, built as workflows, chat, voice, email, image and insights AI. Your first one starts from a proven pattern, not a blank page.
A message from our CEO
AI, connected to what matters.
“AI delivers value only when it is connected to the systems, data, processes, and people that drive an organization. That belief is at the heart of Aventisia. Our mission is simple - to help enterprises adopt AI with confidence.”
Let's build
Tell us what you want AI to do for your business.
Describe the process you want to change. We'll come back within one business day with a view on feasibility, approach and timeline.
- 4 weeks average time to production
- Built on Avintra or on the stack you already run
- Deployed in our cloud, your private cloud or on-prem