Newtuple designs, builds, and operates enterprise AI agents. We are platform-agnostic partners who deliver intelligent workers that execute complex tasks. Whether you need a custom fleet on Dialogtuple, a rapid deployment via AgentKit, or an enterprise rollout on Copilot Studio or AWS Bedrock, our agents are engineered for security, observability, and measurable business outcomes.
Agent Platforms we work with
The Newtuple team is proficient at building agents on multiple platforms. You choose the platform, we execute.
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Agent Domains
How we deliver Agents - The Newtuple Edge
Step 1
Discover & Design
We select high-impact use cases, map processes, and design hybrid workflows where deterministic code handles rules and agents handle variability.
Step 2
Build & Secure
We build the agent, wire secure integrations, implement memory and context layers, and enforce permission-first controls (RBAC, scoped tokens, audit trails, optional zero-retention).
Step 2
Deploy & Operate
We deploy with full observability, CI/CD evaluation gates, and manage continuous tuning, drift prevention and cost optimization.
Deploy Anywhere, Control Everything
We provide multiple options for enterprises, so you can have complete control over your agent stack
Public Cloud Deployment
Deploy on AWS, Azure, or Google Cloud Platform with automated scaling and redundancy.
Private Cloud Deployment
Full air-gapped deployment on private infrastructure with complete data sovereignty.
Why Newtuple?
Newtuple builds production-grade AI agents that run all day, at scale, with governance, observability and measurable ROI. We combine deep generative AI skills with practical engineering discipline and hard-won production experience so your team gets dependable automation, not brittle prototypes.
Experience at Scale
Proven across 30+ client engagements, we know how to move from pilot to production and scale responsibly.
Generative AI, done for business
Model selection, specialization and cost engineering that deliver accurate, fast and cost-effective agents.
End-to-end engineering
Data, workflows, security, CI/CD and observability. One team, one stack, faster outcomes.
Production-hardened
Professional outreach, clear timelines, and timely follow-ups, at scale