Process & Pricing

How we work. What you should expect. What we believe about value and pricing.

We do not have cookie-cutter pricing. We do not have fixed timelines. Custom intelligence costs what it costs because real research cannot be rushed or commodified.

This page sets expectations clearly. If what we do does not fit your needs, you will know immediately.

Our Process

We follow a deliberate sequence. Each phase builds on the previous one. No shortcuts. No promises of speed.

1

Problem Framing

We spend time understanding your problem deeply. Not just the surface problem, but the underlying constraints, dependencies, and what success actually means. This phase determines everything that follows.

2

Research & Data Strategy

We research the domain. We understand available data, data quality, labeling requirements, and what synthetic data might be necessary. We plan the dataset before building anything.

3

Architecture Design

We design the system. Every component considered. Not selected based on hype, but on fit for your specific problem. This is where we decide: custom model, adapted model, or hybrid approach.

4

Model Development

We build and train. We document training dynamics, failure modes, and learning. We iterate based on validation results, not marketing timelines.

5

System Integration

Models do not exist in isolation. We integrate with your infrastructure. We handle data pipelines, inference servers, monitoring, and alerting. Everything is production-ready.

6

Validation & Iteration

We validate against real constraints. Latency budgets. Resource constraints. Domain expert review. We iterate until the system is reliable and meets your requirements.

Key Principle: We do not promise timelines because custom intelligence cannot be commodified. What matters is that the system works. How long that takes depends on your problem's complexity.

Pricing Philosophy

Why Pricing Varies

We do not have fixed price points. Each project is unique. The cost depends on what you are building and why.

Problem Complexity

How hard is the problem? Novel domains require more research. Well-understood domains require less.

Data Requirements

Do you have clean data? Do we need to build labeling infrastructure? Synthetic data generation adds cost and time.

Custom Architecture

Are we adapting existing models or building from scratch? Custom neural networks require more research and validation.

Integration Complexity

How complex is your infrastructure? Real-time requirements? Edge deployment? These affect implementation cost.

Team Involvement

How much domain expertise do you bring? How much do we need to contribute to problem framing?

Timeline Flexibility

Do you need it done slowly (lower cost) or with urgency (higher cost)? We do not rush research.

Tier-3 (Custom Neural Networks)

Full research and development. Proprietary models built from scratch. High investment. High value for organizations solving novel problems.

Typically ₹5,00,000 - ₹20,00,000+ depending on complexity

Tier-2 (Adapted Models)

Fine-tuning and customization. Foundation models adapted for your domain. Moderate investment. Right for organizations building on proven architectures.

Typically ₹2,00,000 - ₹6,00,000 depending on scope

Tier-1 (LLM-Assisted Systems)

Integration and deployment. LLMs as components. Lower investment. Right for teams adding AI to existing products.

Typically ₹50,000 - ₹2,00,000 depending on integration complexity

No Discounts. No Surprises. These ranges reflect real costs. Custom intelligence is expensive because it is real work. We do not compete on price. We compete on depth and capability.

Is GenJecX Right For You?

Perfect Fit ✓

  • ✓You have a complex problem that generic solutions cannot solve
  • ✓You are willing to invest time in problem understanding
  • ✓You need proprietary intelligence, not a resold product
  • ✓You understand that custom research takes time
  • ✓You value depth and capability over quick deployments
  • ✓You are looking for a long-term technical partnership

Poor Fit ✗

  • ✗You need a solution deployed in 2-4 weeks
  • ✗You want to minimize cost at any expense
  • ✗You are looking for generic "AI solutions"
  • ✗You do not have domain expertise on your team
  • ✗You need an off-the-shelf product, not a system
  • ✗You are not committed to seeing the project through

Be Honest: If you see yourself in the "Poor Fit" column, we are probably not the right match. That is okay. There are other vendors who do rapid deployment well. We are built for the problems that require research, not speed.