nutrir.ai
// services

Everything we build.

Six categories. One model: 30-day sprints, production deployments, zero lock-in.

◈

AI Agents

Autonomous systems that execute without handoffs.

We design and deploy multi-step autonomous agents that replace entire workflow categories. Document processors, data extraction pipelines, decision-makers, and orchestration layers — built on Claude, GPT-4o, and open-source models with production reliability.

Outcomes
✓Replace 3–5 FTE of repetitive work
✓24/7 operation, no human-in-the-loop
✓Integrates with existing systems via API
Example builds
Claims processing agentContract review agentLead qualification agent
⬡

Full-Stack AI Products

End-to-end AI-native SaaS — scoped, built, shipped.

Complete product builds from schema to deployment. We architect AI-first products where the intelligence is the core, not an add-on. CI/CD from commit one. You own the codebase completely.

Outcomes
✓MVP live in 3–4 weeks
✓Full codebase ownership
✓Production-ready on day one
Example builds
AI-native SaaS MVPVertical AI platformInternal AI tool
⟳

Automation Infrastructure

Event-driven pipelines that run while you sleep.

Webhook orchestrators, scheduled automation engines, and trigger-based workflow systems. We automate everything that runs on a schedule or a trigger — at scale, with observability.

Outcomes
✓10x throughput increase
✓90% cost reduction vs. manual
✓Full audit trail and monitoring
Example builds
Document ingestion pipelineBilling automation engineMulti-system sync layer
▲

Internal AI Copilots

LLM-powered tools built on your data.

Custom RAG systems, knowledge agents, and decision-support tools trained on your internal docs, workflows, and institutional knowledge. Your team moves 5x faster.

Outcomes
✓Instant answers from internal knowledge
✓Reduces onboarding time by 60%
✓Private — runs on your infrastructure
Example builds
Internal knowledge agentPolicy QA systemEngineering copilot
≋

Data & Model Pipelines

From raw data to deployed model — automated.

Ingestion, transformation, chunking, embedding, and fine-tuning pipelines. We build the infrastructure that keeps your AI systems current and accurate at scale.

Outcomes
✓Days from data to deployment
✓Automated retraining on new data
✓Vector DB + retrieval optimized
Example builds
RAG pipeline for enterprise docsFine-tuning workflowReal-time embedding system
☁

Cloud & DevOps for AI

AWS-native infra built for AI workloads.

Lambda, Bedrock, ECS, API Gateway, RDS, vector databases — all provisioned and wired together with Terraform/CDK. Zero-downtime, auto-scaling, production-hardened from the first commit.

Outcomes
✓Auto-scaling under any load
✓Cost-optimized architecture
✓IaC — fully reproducible infra
Example builds
AI platform infraBedrock integration layerServerless AI API
// engagement models

How we work together.

No retainer lock-in by default. Start with a sprint.

Most common

Sprint Build

Project-based

One defined system. 30-day sprint. Architecture, build, and production deployment.

Best for: Single workflow automation or AI feature

Platform Build

Project-based

Full AI product from zero. Scope, architecture, build, deploy. You own everything.

Best for: AI-native SaaS or internal platform

Embedded Team

Monthly retainer

We embed as your AI engineering team. Continuous builds, improvements, and new systems.

Best for: Ongoing AI development capacity
// next step

Tell us what you're building.

We'll scope it, price it, and start in days — not months.

Start a Build Sprint →