Engineered in production

Agentic AI that executes — built, tested, and deployed.

We design agent orchestration, GenAI web applications, and no-code automations built for production — not proof-of-concept demos.

24+
Production deployments
80%
Avg. workflow reduction
4-6w
Pilot-to-production
graph.v1● live
nodes: 07latency 240ms
[ 01 // Services ]Core capabilities

Engineered intelligence for teams that ship.

Three practice areas — one philosophy: agent systems that survive production traffic, edge cases, and real users.

AI Agents

Production-ready agents using LangGraph, LangChain, AutoGen, AWS Bedrock, OpenAI, and vector databases like Pinecone and Weaviate.

LangGraphLangChainAutoGenBedrock
Learn more

GenAI Applications

AI-powered web applications including chatbots, image generation platforms, document intelligence, RAG solutions, and enterprise dashboards.

Next.jsOpenAIPineconeSupabase
Learn more

No-Code Automation

Business automation using n8n, Zapier, and Make to eliminate repetitive work and integrate business systems end to end.

n8nZapierMakeWebhooks
Learn more
[ 02 // Process ]How we ship

From napkin sketch to production traffic.

  1. 01

    Discovery & Pilot

    Understand business goals, map workflows, and identify the highest-ROI automation opportunities.

    1–2 weeks

  2. 02

    Architecture & Development

    Design, engineer, and rigorously test scalable AI systems with safety rails and evaluation loops.

    3–6 weeks

  3. 03

    Deployment & Support

    Deploy securely to your infrastructure, monitor performance, and continuously improve the system.

    Ongoing

[ 03 // Work ]Selected projects

Real deployments. Measurable outcomes.

Request full case pack
AI Finance Operations Agent interface screenshot
case_study● shipped

AI Finance Operations Agent

−80%
Manual reconciliation time

Manual reconciliation of cross-platform ledgers was consuming 40+ analyst hours per week.

LangGraphPythonPineconePostgres
Image Generation Platform interface screenshot
case_study● shipped

Image Generation Platform

10k/day
Generations served

Marketing team needed on-brand asset generation at scale.

Next.jsOpenAIAWS Bedrock
Multi-Domain Support Agent interface screenshot
case_study● shipped

Multi-Domain Support Agent

65%
Tickets auto-resolved

Support team spread across 4 product lines with inconsistent responses.

LangChainWeaviate
Travel AI Planner interface screenshot
case_study● shipped

Travel AI Planner

3.2×
Conversion lift

Booking flow required 12+ steps and lost 60% of users to drop-off.

ReactOpenAISupabase
Document Intelligence Platform interface screenshot
case_study● shipped

Document Intelligence Platform

12×
Review throughput

Legal team spent days reviewing hundred-page compliance filings.

RAGAnthropicPostgres
[ 04 // Stack ]The toolbox

Model-agnostic. Framework-fluent.

We pick tools that survive the next 24 months, not next week's hype cycle.

Languages
PythonTypeScriptSQL
Frameworks
ReactNext.jsNode.jsFastAPI
Agent Stack
LangGraphLangChainAutoGen
Models
OpenAIAnthropicAWS BedrockLlama
Vector / Data
PineconeWeaviateSupabasePostgres
Ops
DockerKubernetesGitHub Actions
Automation
n8nZapierMake
[ 05 // Engagement ]How we work together

Three ways to engage.

All engagements are 100% custom development. Final pricing is scoped after discovery.

Pilot
Fixed
4–6 week engagement

Prove ROI on a single automation or agent before scaling.

  • Discovery workshop
  • One deployable agent or app
  • Evaluation harness
  • Deployment support
Request pilot
Recommended
Fixed Scope
Milestone
8–16 week delivery

Full engineering delivery on a defined scope with milestone-based billing.

  • Everything in Pilot
  • Multi-agent orchestration
  • Custom UI / dashboard
  • Integration with your stack
  • Load & safety testing
Start a project
Engineering Retainer
Monthly
Dedicated squad

Embedded engineering team owning your AI roadmap end to end.

  • 2–5 dedicated engineers
  • Weekly sprints & reviews
  • SLA-backed support
  • Continuous evaluation
Talk to us
[ 06 // Team ]Small team, senior craft

The engineer behind every deployment.

Nikhil G. — Founder & Agentic AI Engineer at Arthavya
Nikhil G.
Founder & Agentic AI Engineer
Trust & compliance posture
SOC2 Ready
GDPR Ready
Enterprise Security
Agile Delivery
100% Custom
[ 07 // Signal ]Words from clients

Trusted by engineering leaders.

"They shipped a production agent that replaced a 3-person team's reconciliation workload. What they delivered in six weeks would have taken us a year."
VP Engineering
Fortune 500 fintech
"The RAG platform they built is now core infrastructure for our legal review. Zero hallucinations on regulated content, citations every time."
Chief Legal Officer
Compliance SaaS
"Rare combination — they understand agents deeply and still care about the product surface. Our support automation reads like a native feature."
Head of Product
B2B travel platform
[ 08 // FAQ ]Common questions

Answers before you ask.

Have something more specific? Drop it in the contact form and we'll get you a real answer, not a sales reply.

[ 09 // Contact ]Start a conversation

Tell us about the problem you're solving.

Real engineers read every submission. Expect a response within one business day.

We reply within 24 hours.