Straight answers to the questions buyers ask
Short, evidence-led answers on AI development cost, evaluation, modernization sequencing, and senior hiring. Every piece is reviewed by an engineer before it ships.
How much does it cost to build an AI feature into an existing product?
Adding an AI feature to an existing software product typically costs between $30,000 and $150,000 for initial development, taking 6 to 16 weeks. Simple API integrations cost $20,000 to $45,000, context-aware RAG systems range from $50,000 to $120,000, while custom fine-tuning or hosting open-weight models ranges from $100,000 to $250,000+.
How to evaluate an AI vendor: a 12-question technical due diligence list
Evaluating an AI vendor requires auditing technical architecture, data handling, and production readiness rather than reviewing pitch decks. To evaluate an AI vendor effectively, demand production code access, run an evaluation harness against your edge-case datasets, audit p95/p99 latency metrics under load, calculate unit token economics at scale, and verify zero-retention data privacy guarantees.
AI development company vs in-house team: the real cost comparison
Building an in-house AI team costs $1.2M to $2.1M in Year 1 for four specialized engineers, requiring 6 to 9 months to hire and ramp. Partnering with a specialized AI development company delivers a production-grade system in 8 to 16 weeks for $120,000 to $400,000, eliminating hiring risk while allowing internal teams to retain long-term system ownership.
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