Process & Pricing
Transparent process. Honest pricing. No surprises.
A Deliberate Sequence
Seven phases. Each builds on the previous. No shortcuts — because the quality of intelligence is determined by the quality of the process that creates it.
Discovery
We spend time understanding your problem, its constraints, and what success actually means. Discovery is not a kickoff call — it is structured research into the problem space before any architecture decisions are made.
Knowledge Engineering
We structure domain intelligence into learnable representations. This includes data strategy, labelling methodology, synthetic data requirements, and knowledge architecture — the foundation everything depends on.
System Architecture
We design the complete system from first principles. Every component selected for fit — not hype. This phase determines whether we build custom models, adapt existing architectures, or engineer a hybrid approach.
Development
We build and train. We document training dynamics, failure modes, and learning curves. We iterate based on validation results, not marketing timelines. Every decision is traceable and reasoned.
Evaluation
We test intelligence quality against real constraints — latency budgets, resource limits, domain expert review, and edge case analysis. Evaluation is a research phase, not a checkbox at the end.
Deployment
We deploy production-ready systems with monitoring, alerting, and rollback capability. Integration with your infrastructure is handled carefully — inference servers, data pipelines, and access control are all addressed.
Evolution
Intelligence does not stop improving at launch. We track performance, update knowledge bases, expand capabilities, and redesign components as the problem domain evolves. This is where long-term value compounds.
Key Principle: We do not promise timelines because custom intelligence cannot be commodified. What matters is that the system works. The Evolution phase is not optional — it is where long-term value is built.
How GenJecX Pricing Works
Four distinct engagement models. The right one depends on whether you need to own the system, operate it through GenJecX, or both — and whether ongoing evolution is part of the requirement.
Build Fee
A one-time fee for creating a complete AI system. Research, architecture, knowledge engineering, development, testing, and deployment. Ownership transfers fully to you at completion.
- ✓Research & Problem Framing
- ✓System Architecture
- ✓Knowledge Engineering
- ✓Development & Training
- ✓Testing & Evaluation
- ✓Deployment
Monthly Retainer
You own the system. GenJecX continuously improves it. Used when a client owns the intelligence and wants ongoing evolution — knowledge updates, feature additions, and performance improvements.
- ✓Knowledge Updates
- ✓Prompt Improvements
- ✓Workflow Enhancements
- ✓New Feature Development
- ✓Monitoring & Support
Setup Fee
Used when entering GenJecX infrastructure. Covers full discovery, architecture design, integrations, and initial deployment into a managed intelligence environment.
- ✓Discovery Sessions
- ✓Architecture Design
- ✓System Integrations
- ✓Configuration
- ✓Initial Deployment
Infrastructure Subscription
GenJecX actively operates your intelligence systems. We run, monitor, engineer knowledge, and continuously evolve capabilities. Used when the intelligence is too critical or complex to hand off.
- ✓Knowledge Engineering
- ✓Evaluation & Monitoring
- ✓Optimization
- ✓Hosting & Infrastructure
- ✓Vector Retrieval Systems
- ✓Capability Evolution
A note on naming. Not every recurring fee is an Infrastructure Subscription. A retainer for ongoing improvements is different from operating critical knowledge, retrieval, and analytics infrastructure on a continuous basis. We use the term only when that is genuinely what is happening — otherwise it is a Monthly Retainer.
The GenJecX Rule
One question determines your engagement model. Answer honestly.
"If GenJecX disappeared tomorrow, would the system mostly keep working?"
- ›Fitness AI Platforms
- ›AI Chatbots & Assistants
- ›Internal Knowledge Bases
- ›CRM AI Assistants
- ›Executive Intelligence Systems
- ›Healthcare Intelligence Platforms
- ›Enterprise Intelligence Networks
- ›Multi-Agent AI Systems
Technical Complexity Tiers
These tiers describe the technical depth of a system and influence project cost. They do not automatically determine the pricing model — a Tier 2 system can operate under either model depending on requirements.
AI-Powered Business Systems
Intelligence applied to existing business workflows. LLM-powered systems with orchestration layers built on your data, processes, and domain knowledge.
Domain Intelligence Systems
Deep domain specialization. Adapted models and custom pipelines engineered around the nuances of specific industries and problem types.
Proprietary Intelligence Platforms
Full research and development. Proprietary models built from scratch on domain-specific data. For organisations solving novel problems that demand custom-trained intelligence.
Tier ≠ Pricing Model. Tier describes the depth of the engineering work. The GenJecX Rule determines whether you engage through Build + Retainer or Setup + Subscription. These are independent decisions.
What Influences Cost
No fixed price lists. Each project is unique. These six factors shape every estimate.
Problem Complexity
Novel domains require more research. Well-understood domains require less. The harder the problem, the deeper the investment.
Data Requirements
Do you have clean, labelled data? Do we need to build labelling infrastructure or generate synthetic data? This affects cost significantly.
Custom Architecture
Adapting existing models vs. building from scratch. Custom neural networks require more research, training cycles, and validation.
Integration Complexity
Real-time requirements, edge deployment, existing infrastructure — these all affect implementation scope and ongoing cost.
Domain Expertise
How much do we need to contribute to problem framing? The less domain knowledge on the client side, the more GenJecX must provide.
Timeline Flexibility
Urgency has a premium. We do not rush research — but if urgency is required, it is priced accordingly.
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, capability, and long-term value.
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 minimise 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. There are other vendors who do rapid deployment well. We are built for problems that require research, not speed.