Custom AI Software

Custom AI software, built for production.

When off-the-shelf tools stop fitting, AIONDATA designs and builds custom AI software end to end — the same way we build our own products: enterprise security first, measurable accuracy, and delivery processes certified to ISO 9001 and CMMI Level 3.

What's included

Full-Cycle Product Development

Discovery, architecture, UX, build, deployment, and operation — one accountable team from first workshop to production SLA.

AI-Native Application Architecture

RAG pipelines, semantic layers, multi-model orchestration, and agent frameworks designed into the product — not bolted on.

Enterprise & Multi-Tenant by Design

SSO, role-based access, row-level security, tenant isolation, and audit logging — the controls your security team will ask about, answered up front.

Cloud Infrastructure & DevOps

Infrastructure as code, CI/CD, autoscaling, and observability on AWS — built for 99.9% uptime SLAs from day one.

Compliance-Ready Engineering

SOC 2-ready architectures with GDPR and HIPAA-aware data handling for financial services, healthcare, and insurance workloads.

Run & Evolve

Post-launch monitoring, model tuning, and feature delivery — or a clean handover to your team with documentation and training.

How we work

  1. Discovery & Spec

    Workshops turn your requirements into a written spec with architecture, milestones, and acceptance criteria you approve.

  2. Design & Prototype

    A working prototype on your data validates the riskiest assumptions early — accuracy, latency, and UX.

  3. Build in Increments

    Short cycles with demos every sprint, transparent accuracy metrics, and CMMI Level 3 process discipline.

  4. Launch & Operate

    Production deployment with monitoring and SLAs. We operate it, or hand it over — your choice.

Practical use cases

We build our own products this way

Lexicon, Agentic Studio, and SynergyOS were designed, built, and operated in-house — the same team and processes build your software.

50K+ active users in productionSynergyOS

Embedded AI analytics in your product

White-label analytics and an embedded SDK let you ship AI-powered data features inside your own application.

SDK-ready integrationLexicon

Vertical AI applications

Domain-specific AI software for financial services, healthcare, insurance, and infrastructure — built on hardened extraction and analytics infrastructure.

Weeks to first releaseSolutions

What we build

AIONDATA develops custom AI software across the stack: AI-powered analytics products, document intelligence systems, internal AI platforms, vertical SaaS applications, and AI features embedded into existing products. Every build is AI-native — retrieval pipelines, semantic data layers, model orchestration, and evaluation harnesses are part of the architecture, not afterthoughts.

Engagements are fixed-scope or dedicated-team. Either way, you get senior engineers who have shipped enterprise AI software to production, working under written specs, sprint demos, and measurable acceptance criteria.

Why a product company for custom software

Firms that only do services optimize for billable hours; product companies optimize for software that survives contact with production. Because we run Lexicon, Agentic Studio, and SynergyOS ourselves — with uptime SLAs, security reviews, and 50,000+ users — we design your software for the same standard: secure by default, observable, and maintainable by whoever runs it next.

Why enterprises choose AIONDATA

A product company, not a body shop — we ship and operate our own enterprise AI software

ISO 9001:2015 quality management and CMMI Level 3 development maturity, independently certified

NVIDIA Inception member building on current-generation AI infrastructure

99.9% uptime SLA operations experience across multiple countries

You own the IP — code, models configurations, and documentation are yours

California leadership, Noida engineering: senior oversight with 24/7 delivery capacity

Frequently asked questions

How much does custom AI software development cost?

It depends on scope, but you will know before committing: discovery produces a written spec with a fixed price or a dedicated-team monthly rate. Prototypes are deliberately small so you validate value before investing in the full build.

Who owns the intellectual property?

You do. Code, configurations, documentation, and infrastructure definitions are delivered to your repositories under terms set in the contract. We can operate the software for you, but you are never locked in.

How long does a custom AI software project take?

A validated prototype typically lands in two to four weeks; first production release in one to three months depending on integrations and compliance requirements. Sprint demos keep progress visible throughout.

Can you integrate with our existing systems and data?

Yes — we maintain 35+ enterprise connectors (Snowflake, BigQuery, PostgreSQL, Salesforce, dbt, Oracle, and more) plus REST/GraphQL and MCP interfaces, so custom software plugs into your stack rather than duplicating it.

What happens after launch?

Your choice: we operate the software under an SLA with monitoring, model tuning, and feature delivery — or we hand it over to your team with documentation, training, and a transition period.

Have AI software that needs building?

Bring the idea — 15 minutes gets you an honest read on scope, timeline, and cost.

Please share the workflow and the systems involved—not credentials or customer records. We’ll agree the scope and next steps with you.

NVIDIA Inception

NVIDIA Inception member

Part of NVIDIA’s program for startups building with AI and accelerated computing.

About the program
Pravin BansalSravan Modugula

Bay Area roots. Enterprise experience.

Pravin’s experience includes Google and SmartBear. Sravan previously held leadership roles at JPMorgan Chase and First Republic Bank.

Meet the founders

San Francisco Bay Area, California

9110 Alcosta Blvd Ste H345, San Ramon, CA 94583

US-led delivery, with engineering in India. Supporting US and international organizations.
Prefer email? info@aiondata.io

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