Transparent, Predictable Pricing
Clear cost ranges, fixed-scope contracts, milestone billing, and 100% intellectual property ownership.
AI Readiness Sprint
1-week deep dive into architecture, data readiness, and cost estimates before committing to a full build.
- ✓ 1-Week Timeline
- ✓ Technical Architecture Blueprint
- ✓ Data & API Feasibility Audit
- ✓ Detailed Fixed-Price Roadmap
AI Feature Build
Add LLMs, RAG search, vector database pipelines, or automated AI agents to your existing SaaS product in 4 to 6 weeks.
- ✓ 4 to 6 Week Delivery
- ✓ 100% IP & Code Ownership
- ✓ Milestone-Based Billing
- ✓ Upfront Mutual NDA
Dedicated Engineers
Senior full-stack and AI engineers integrated into your team, tools, and daily standups.
- ✓ Sprint Onboarding in 2 Weeks
- ✓ 2-Week Notice to Scale Size
- ✓ Direct Slack & GitHub Access
- ✓ Timezone Aligned Schedule
What Moves Your Project Cost?
We outline cost factors clearly during discovery so you never encounter unexpected invoices.
01. AI Model Complexity & Fine-Tuning
Standard API integrations (e.g. OpenAI/Claude/Gemini) cost less than custom fine-tuned models, local open-weight model hosting, or multi-modal agent workflows.
02. Data Pipeline & Vector Databases
Simple prompt pipelines require less setup than complex Retrieval-Augmented Generation (RAG) with real-time vector embeddings across thousands of documents.
03. Integration & Security Requirements
Custom enterprise SSO, legacy database connectors, strict SOC 2 audit logging, and custom compliance rules impact engineering time.
04. Scope & Delivery Speed
Accelerating timelines to ship an initial MVP within 4 weeks requires additional dedicated engineering bandwidth.
Request a Fixed-Scope Proposal
Schedule a free 30-minute feasibility call to receive a detailed scope breakdown and cost estimate.