Neurisense
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AI-augmented seniorengineers to ship reliable software—faster.

We design, build, and integrate production-grade systems and GenAI agents. Remote-first. Senior-only.

Senior-only delivery
GenAI + classical engineering
Weekly demos & measurable outcomes
3+ projects delivered
Remote-first
Security-minded
What We Do

Full-stack engineering with AI superpowers

From classical software development to cutting-edge AI systems—we ship production-grade solutions.

Software Engineering & Integrations

Web platforms, APIs, and system integrations built with modern stacks. Clean architecture, tested, production-ready.

GenAI Features & Agentic Workflows

Chat interfaces, copilots, summarization, and extraction. LLM-powered features that enhance your product.

AI System Design & Delivery

End-to-end AI system architecture. From data pipelines to model deployment, with observability built in.

Why Neurisense

Engineering excellence, accelerated by AI

We combine senior engineering discipline with AI-augmented workflows to deliver faster without cutting corners.

AI-augmented workflow

We leverage AI tools throughout our development process—from code generation to testing—shipping faster without sacrificing quality.

Senior engineering discipline

Every engineer has 8+ years of experience. We bring architectural thinking, code review standards, and production-hardened practices.

Product mindset

We think beyond code. Weekly demos, measurable outcomes, and a focus on business impact—not just technical deliverables.

Case Studies

Recent work

Selected projects showcasing our approach to building reliable software systems.

Retail Client|E-commerce

E-commerce Platform Modernization

Problem: Legacy monolith struggling to scale during peak traffic
Approach: Incremental migration to microservices with Next.js frontend
Result: 3x improvement in page load times, 99.9% uptime
Next.js
Microservices
AWS
Legal Tech Startup|Legal

AI-Powered Document Processing

Problem: Manual document review taking 4+ hours per contract
Approach: Built LLM pipeline for extraction, classification, and summarization
Result: Reduced review time to 15 minutes with 95% accuracy
LLM
RAG
Python
SaaS Company|Technology

Customer Support Agent System

Problem: Support team overwhelmed with repetitive queries
Approach: Designed multi-agent system with RAG and human escalation
Result: 60% of queries resolved automatically, NPS improved by 25 points
Agents
RAG
TypeScript
Engagement Models

Flexible ways to work together

Choose the engagement model that fits your needs. Start small, scale as needed.

1–2 weeks

Discovery Sprint

Understand requirements, assess technical feasibility, and define the roadmap.

  • Technical assessment & architecture review
  • Requirements documentation
  • Roadmap & effort estimation
  • Go/no-go recommendation
2–4 weeks

Build Sprints

Focused development sprints with weekly demos and iterative delivery.

  • Dedicated senior engineer(s)
  • Weekly demos & retrospectives
  • Continuous integration & deployment
  • Documentation & knowledge transfer
Monthly

Dedicated Pod

Embedded team extension for ongoing development and maintenance.

  • Full team (engineers, architect, PM)
  • Async-first communication
  • Priority support & SLA
  • Long-term partnership pricing
Our Process

From idea to production

A structured approach that prioritizes clarity, quality, and speed.

1

Discover

We analyze your requirements, assess technical constraints, and define success criteria.

2

Design

Architecture decisions, technology choices, and implementation roadmap—documented and reviewed.

3

Build

Iterative development with weekly demos. Clean code, comprehensive tests, CI/CD from day one.

4

Launch & Iterate

Production deployment, monitoring setup, and continuous improvement based on real-world feedback.

Ready to ship faster?

Let's discuss how we can help you build reliable software with AI-augmented engineering.