AI & LLM
LLM applications and agents
Assistants, workflow agents and document AI, built on your data and deployed with audit trails.
- Evaluation sets and release gates
- Role-based access
- Model-independent design
AI-native agency
An AI-native agency:
agents build, engineers answer for the result
Andolasoft uses AI agents inside the delivery loop to build, test and document AI systems faster. Senior engineers review architecture, code and evaluation results before every release, and stay accountable for what reaches production.
Andolasoft at a glance
- 150+
- Systems delivered
- 100+
- AI and ML engineers
- 30+
- Countries served
- CMMI L3
- Appraised engineering process
Engineering teams in Bhubaneswar and Bangalore, with an office in San Jose, CA.
What is an AI-native agency?
An AI-native agency delivers client work with AI agents inside its build and operations loop, while human specialists stay accountable for architecture, quality and the business result. It differs from a traditional agency that bills hours, and from a software vendor that sells seats. The work is judged by what the system does in production.
Compare
Traditional agency, AI tool or AI-native agency?
Three ways to buy AI work. Each one puts the risk and the accountability in a different place.
| Traditional agency | AI software tool | AI-native agency | |
|---|---|---|---|
| How work is built | Teams write code by hand | You configure the tool yourself | Agents accelerate building, engineers review every release |
| What you pay for | Hours or a fixed project | Seats or usage | Milestones, dedicated teams or outcome-linked terms |
| Who answers for quality | The agency, through its process | Nobody on your side, unless you hire people | Named senior engineers, with evaluation and rollback built in |
| After launch | Support tickets | Vendor roadmap | Monitoring, runbooks and an operating plan |
What we deliver
Three practice areas run the same AI-native way
Analytics
Apache Superset analytics
Dashboards, embedded analytics and AI-assisted insights, with migration from Tableau or Power BI.
- SSO and role-based access
- Snowflake, BigQuery and PostgreSQL
- Managed support
Platforms
Web, mobile and cloud
Enterprise portals, mobile apps and cloud infrastructure that the AI systems run on.
- AWS, GCP and Azure
- DevOps pipelines
- HIPAA, GDPR and SOC 2-ready
Questions about AI-native agencies
An agency that delivers work with AI agents inside its build and operations loop, with human specialists accountable for architecture, quality and the business result.
A consultancy often delivers recommendations and prototypes. An AI-native agency builds, deploys and operates the system, with evaluation, monitoring and rollback in place.
No. Agents accelerate building and testing. Senior engineers review architecture, code and evaluation results before anything reaches production.
Fixed-scope milestones, dedicated teams and outcome-linked agreements where the result can be measured. We agree the model in the architecture review, before the build. Our outcome-based AI services page explains how outcome-linked work is structured.
Keep exploring
Bring us the system you need to ship
Tell us the outcome. You will hear back from a solutions architect within one business day with a roadmap.
We can sign an NDA before the first technical conversation.