Aviox Technologies designs and builds AI agents, document intelligence, data platforms and production software that reduce manual work and connect with the systems your teams already use. We start with a measurable workflow, define the decision boundary and engineer the controls needed to run it in production.
Who we are
Aviox combines AI engineering with workflow and software delivery, so the result is not a disconnected model demo.
AI and intelligent automation: grounded GenAI, retrieval, AI agents, document intelligence and process automation for defined business workflows. Data and machine learning: pipelines, analytics foundations, ML systems, evaluation and MLOps. Software and modernization: custom applications, integrations and modernization work that connect automation to the systems people already use.
Process first
A useful AI project begins with the work: what arrives, what decision is made, which data is authoritative, who owns an exception and how success is measured. Aviox maps that path before selecting a model or platform. That turns "we need AI" into a testable engineering problem.
Claims, onboarding forms, invoices and contracts read, classified and validated against business rules, with uncertain fields routed to a person.
Tool-using agents for bounded tasks, with explicit permissions, state, retries and escalation, and an audit trail.
Assistants that retrieve from approved sources, respect document permissions and hand off to a person when the sources do not answer.
Forms, email, documents and APIs connected into workflows where a rule is enough, with AI used only where the task needs it.
Leads captured, enriched, scored and routed into the CRM, with follow-up steps and exceptions handled by explicit rules.
Deployment, identity, secrets, observability, backup, cost controls and incident ownership designed in from the start.
Ingestion, transformation, quality and evaluation layers that analytics, machine learning and automation can depend on.
Where legacy systems must remain, they are isolated behind stable interfaces rather than replaced in a risky first step.
Industries
All ten Browse every industry page, each describing workflows, evidence needs and where people approve. The technology pattern may repeat; the business rules, data, decision rights and acceptable failure modes do not.
Banking & lending
Move high-volume banking work from inboxes and handoffs into controlled workflows for lending intake, KYC document review, operations triage and fraud-investigation support, with human approval where decisions carry material consequences.
What we automateRequest a quote
Tell us about the workflow and we will map the smallest useful production path.
Evidence
One published case study, one product Aviox operates itself and two project snapshots. Each is a single case, not a typical result.
All case studiesDocument intelligence, retrieval, rules and human review applied to a first-pass claims workflow, with the baseline, evaluation data and controls described.
Read the case studyScore my speaking attempt against the criteria.
Attempt scored. Criterion-level feedback is ready for content, fluency and pronunciation. This is a practice estimate, not an official score.
An AI-assisted PTE, IELTS and TOEFL practice platform that Aviox builds and operates, where the engineering and operating decisions can be documented directly.
See the productSnapshot: a mobile-first lending journey covering eligibility checks, identity verification and payments in one flow.
See banking workflowsFamily law,
handled with care.
Snapshot: a modern, responsive website for a family-law firm, designed to earn trust and make services easier to access.
See legal workflowsWhy Aviox
Four working rules shape every engagement, whether we are automating one process or building a product around it.
Aviox maps what arrives, who decides and where the data lives before choosing a model or platform.
Every workflow has an explicit line between what the system decides and what a person decides.
A baseline is measured first and the same metric is measured again, so results can be inspected rather than asserted.
Monitoring, fallback and named owners are part of the build, not a launch-day checklist.
Request a quote
Grounded GenAI, retrieval, AI agents, document intelligence and process automation for defined business workflows, with permissions, evaluation and human review built in.
Secure, measurable and wired into the tools your teams already use, from a focused first workflow to production.
How we work
Our partners
Each one covers something we would otherwise have to fake — delivery capacity, market access, elastic engineering, or a product of our own to prove the engineering on.
A UK-based IT company building mobile, web and game products for clients across more than twenty countries since 2007. When a programme needs more hands on the application layer than one team can field, we build it together — they carry product engineering depth, we carry the AI and data layer.
A venture studio and capability enablement business operating across India and Africa — micro GCCs, fractional leadership and startup advisory, from offices in Pune, Jaipur, Cape Town and Johannesburg. When they stand up a capability centre that needs an AI and engineering function inside it, that is the work we do.
The AI exam-preparation platform we build and operate — PTE, IELTS and TOEFL attempts scored against published band descriptors in seconds. It is also our proving ground: the scoring engine, the agreement harness and the release gates we bring to client work were all hardened here first.
An ML, cloud and data engineering company that builds modern data platforms, analytics pipelines and AI-ready infrastructure. When a client needs enterprise-grade warehousing, real-time analytics or data governance underneath the AI we ship, ThinkDataLabs brings the depth and tooling to get the foundations right.
A software development company offering custom software, web, mobile and AI development. When a programme needs extra capacity on the web and mobile layer, or an AI feature built alongside it, we plan and deliver the work together under one roadmap.
Partner with us If you build in a sector we engineer for and want the AI layer handled properly, Partner with us
Capabilities
Behind every solution is a full-stack team — so strategy, design, engineering and AI ship as one product, not a patchwork of vendors.
Custom LLMs, AI agents, chatbots and NLP — taken from focused proof of concept to secure production.
Explore AICustom platforms, SaaS products and MVPs engineered to scale with your business — and maintained long after launch.
Request a quoteHigh-performance websites and web apps on modern frameworks — fast, accessible and built to convert.
See web workRapid MVP builds that validate your idea fast — from concept to launch-ready product in weeks, not months.
Request a quoteProcess discovery, custom bots and orchestrated workflows that take repetitive work off your team for good.
See solutionsResearch-led product design that makes complex systems feel effortless — from first wireframe to design system.
See design workAWS architecture, CI/CD pipelines and monitoring for platforms that stay fast, secure and cost-efficient.
View our stackPipelines, warehouses and analytics that make your data trustworthy, governed and genuinely AI-ready.
Automate reportingAlso ChatGPT development Mobile app development IoT development AR/VR App maintenance & support
Technology ecosystem
Models and platforms change. Retrieval, business logic, integrations, evaluation and observability are designed so that an unnecessary dependency does not become the architecture.
Clickable Every badge opens its own stack page see all four stacks
Questions
Asked most often by teams scoping a first workflow.
Aviox is an AI and software engineering company focused on production automation, GenAI systems, data platforms and custom software for business workflows.
No. A production workflow may use deterministic rules, OCR, search, machine learning, data engineering, APIs and conventional software alongside or instead of an LLM.
Yes, where supported integration methods are available. The architecture should preserve the systems of record that need to remain.
Start with the task, data quality, decision risk, exception rate, current baseline and deterministic alternatives. Not every step needs a model.
Define acceptance tests early, evaluate representative cases, integrate the real workflow, add security and monitoring, and maintain a human fallback for uncertain or consequential cases.
Usually with a short workflow assessment: we map the process, the data and the decision boundary, then agree the smallest useful production path. You can request a quote or take an expert consultation to begin.
Our engineering headquarters is in Mohali, India, with a client hub in Minnesota, USA. The two timezones overlap for four hours of every working day, so a question asked in either reaches an engineer the same day.
A mutual NDA is available on request. Access is limited to the people who need it, secrets are protected and activity is logged. Data flows, model providers and retention are defined for each engagement, and we do not claim blanket compliance status.
Insurance, banking and lending, healthcare, logistics, retail, legal, education, public sector, real estate, and media and publishing. The technology pattern repeats; the rules, data and approval points are specific to each sector.
From the Aviox blog
Practical writing on AI automation, data platforms and shipping software to production, from the people who build it.
Read the blogStart a conversation
Tell us the process, the data and the system it has to connect to. We will come back with a first production slice, the controls it needs and how we would measure it.
