Pricing

Build at the depth the problem requires.

Not every AI problem needs a custom model. Not every workflow needs an agent. And not every system needs to be rebuilt from scratch. GenJecX engagements are scoped around the complexity of the problem, depth of intelligence, engineering required and infrastructure needed to make the system useful in the real world.

The problem determines the architecture. The architecture determines the engagement.

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Build → Optional Ongoing Engineering → Optional Managed Infrastructure

Three build depths. No SaaS packages.

Build is the one-time engineering engagement. Ongoing engineering and managed infrastructure are optional and only apply when the system requires them.
TIER 01

Quick AI Solutions

Focused Intelligence for Bounded Problems

$600–$2,000+₹50K–₹2L+BUILD

For teams with a clearly defined problem that needs a focused AI capability without becoming a large systems project.

Typical build timeline: 3–7 days

Typical builds

  • AI applications
  • AI assistants
  • Focused agents
  • Workflow automation
  • RAG systems
  • AI copilots
  • API integrations
  • Prompt/context engineering
  • Small multi-agent systems
  • AI-powered internal tools

What the build can include

  • AI application
  • Agents & assistants
  • Workflow intelligence
  • RAG & knowledge retrieval
  • Model & API integration
  • Evaluation
  • Deployment
OPTIONAL / ONGOING ENGINEERING$84–$208/ month₹8K–₹20K / month

Maintenance, evaluation, optimization and continued system development.

OPTIONAL / MANAGED INFRASTRUCTURE$32–$104 / month₹3K–₹10K / month

Only when GenJecX manages hosting and operational infrastructure.

Infrastructure costs depend on actual usage and deployment requirements.

Discuss this build →
TIER 02

Custom AI Integration / Intelligence Systems

When AI Becomes Part of the System

$2,000–$6,200+₹2L–₹6L+BUILD

For companies where AI needs to become a deeper architectural layer rather than simply another feature. Complex systems may require longer depending on scope.

Typical build timeline: 1–2+ weeks

Typical builds

  • Intelligence systems
  • Personal intelligence systems
  • Knowledge systems
  • Persistent-memory applications
  • Multi-agent architectures
  • Complex RAG systems
  • Enterprise AI workflows
  • AI operating systems
  • Deep product integrations

What the build can include

  • Custom dataset engineering
  • Intelligence layer
  • Persistent memory
  • Knowledge graphs
  • Advanced orchestration
  • Evaluation pipelines
  • Production integration
OPTIONAL / ONGOING ENGINEERING$208–$625 / month₹20K–₹60K / month

Maintenance, evaluation, optimization and continued system development.

OPTIONAL / MANAGED INFRASTRUCTURE$104–$315 / month₹10K–₹30K / month

Only when GenJecX manages hosting and operational infrastructure.

Actual infrastructure requirements are determined by system architecture and usage.

Discuss this build →
TIER 03

Custom Neural R&D / Enterprise

When Generic AI Isn’t Enough

$6,200–$20,000+₹6L–₹20L+BUILD

For technically demanding problems where existing models or conventional architectures are not sufficient. This is where GenJecX moves from AI integration into AI R&D.

Typical build timeline: Custom-scoped

Typical builds

  • Custom neural models
  • Specialized model architectures
  • Custom training
  • Neural architecture research
  • Deterministic inference
  • Model optimization
  • Neuro-symbolic systems
  • Enterprise intelligence infrastructure
  • Research-led AI products

What the build can include

  • Custom neural architectures
  • Custom training
  • Specialized inference
  • Neural architecture research
  • Model optimization
  • Neuro-symbolic systems
  • Enterprise deployment
OPTIONAL / ONGOING ENGINEERING$625–$2,090 / month₹60K–₹2L / month

Maintenance, evaluation, optimization and continued system development.

OPTIONAL / MANAGED INFRASTRUCTURE$314–$1,045+ / month₹30K–₹1L+ / month

Only when GenJecX manages hosting and operational infrastructure.

Infrastructure pricing depends heavily on compute requirements and usage.

Discuss this build →

USD figures are indicative conversions. Final pricing is quoted in the agreed billing currency.

Three different things. One system.

Choose only what the system actually needs.

01

Build

The initial engineering required to create the system. One-time project engagement.

02

Ongoing Engineering

Continued improvement, maintenance, evaluation, optimization and development. Optional monthly engagement.

03

Managed Infrastructure

Hosting and operation of the system. Only applicable when GenJecX manages it.

You don’t automatically pay all three. The engagement may be Build only; Build + Engineering; Build + Infrastructure; or Build + Engineering + Infrastructure.

What determines the price?

Engineering depth, not a feature checklist.

01

Problem Complexity

How difficult is the underlying problem?

02

Intelligence Depth

Generation, retrieval, agents, memory, decisions or specialized models.

03

Data Complexity

Data engineering and knowledge structuring required.

04

Integration Depth

Connection to products, data, APIs and infrastructure.

05

Evaluation Requirements

How rigorously the system needs to be tested.

06

Infrastructure

Compute, storage, deployment, monitoring and operations.

07

Research

Whether an established approach exists or experimentation is required.

AI Architecture Audit

Technical judgment before the next build.

Already have an AI system, are planning one, or have tried several approaches? We examine architecture, data flow, model usage, retrieval, infrastructure, failure modes, evaluation, cost efficiency and operational risks.

You receive an audit report, system diagrams, risk cards, assessments and prioritized recommendations.

We don't audit to find reasons to rebuild. Sometimes the answer is to keep the system. Sometimes one layer needs to change. Sometimes the right answer is to stop building.
Request an Architecture Audit →
Consulting & Advisory

Technical judgment before the commitment to build.

Not every problem needs a build engagement. Advisory can establish technical strategy, architecture decisions, build-vs-buy-vs-integrate judgment, existing-system diagnosis and AI product direction before engineering resources are committed.

Explore Consulting & Advisory
Not sure which tier?

You don't need to know yet.

Tell us what you are trying to build, the problem you are solving, what you have already tried and what success looks like. We'll determine the appropriate architectural depth.

Start a Conversation →