Pressure to ship AI features
Teams need production-ready capability, not prototypes that stall.
Software & digital businesses
Intelligence, connected to your platform. Bring useful AI capabilities into the products, support operations, and data platforms your customers and teams already use.
In-product assistants
Add grounded copilots and assistants to your product experience.
See all applicationsWhat slows teams down
Common pressures in software & digital businesses.
Support volume
Ticket queues grow faster than support teams.
Data in silos
Product, billing, and support data are hard to combine for insight.
Running models in production
Monitoring, evaluation, and cost control are often an afterthought.
Where AI helps
Each application is scoped to your data, systems and approvals.
In-product assistants
Add grounded copilots and assistants to your product experience.
Generative & conversational AISupport automation
Triage tickets, draft responses, and route complex issues to people.
AI automation & agentsVoice interfaces
Add multilingual voice interactions to apps and services.
Voice AIDocument & media understanding
Extract structure from documents, images, and video inside your workflows.
Computer visionData pipelines & analytics
Build reliable pipelines that feed analytics and AI features.
Data & AI engineeringMLOps & evaluation
Serve, monitor, and evaluate models with clear ownership.
Data & AI engineeringAn example workflow
How one of these applications runs day to day.
- 01User asks a question in-product
- 02Assistant retrieves permitted context
- 03Grounded answer with sources
- 04Feedback logged for evaluation
What to plan for
We work through these questions with you during discovery.
Build with your team
We work alongside your engineers, following your repositories, reviews, and release process.
Evaluation & cost
We define quality measures and cost budgets before launch, and monitor them after.
Tenant boundaries
Permissions and data isolation between your customers are designed in.
Capabilities we bring
Generative & conversational AI
Useful assistants and copilots, grounded in the information that matters.
Data & AI engineering
The data pipelines, integrations, and infrastructure that make AI work.
AI automation & agents
Intelligent workflows that connect your people, processes, and systems.
Voice AI
Our own fine-tuned voice models. Support for 18 Indian languages.
Questions, answered
Something else on your mind? Ask us directly.
Can you work inside our codebase?
Yes. We can work alongside your team, following your engineering practices, or deliver services you integrate through APIs.
Which models do you use?
We select models per task, including NIM’s own voice and vision models and suitable language models, based on quality, cost, latency, and data requirements.
Who owns what we build?
Ownership and IP terms are agreed in each engagement contract.
