Whether you need a strategic partner, a hands-on builder, or both, Gradient Methods offers flexible engagements designed around your needs.
End-to-end design and implementation of production AI systems. RAG pipelines, LLM orchestration, AI agent frameworks, fine-tuning, evaluation and observability, prompt engineering, and responsible deployment. We take AI from concept to production.
Serverless and event-driven cloud design, cloud migrations, multi-cloud strategy, infrastructure-as-code, cost optimization, and security hardening across AWS, GCP, and Azure.
High-availability architecture, consistency and consensus design, latency reduction, resilience and chaos engineering, and scaling strategies for mission-critical platforms in FinTech, crypto, and financial services.
Embedded senior technical leadership for growing companies. Engineering strategy, architecture reviews, team building, hiring, technical due diligence, and building an engineering culture that ships.
Assess your AI readiness, identify high-impact use cases, and build a pragmatic roadmap from experimentation to production.
Deep technical assessments for investors, acquirers, and boards. Architecture review, risk analysis, and team evaluation.
CI/CD pipelines, developer tooling, observability, and platform engineering to accelerate your team's velocity.
Every company is different. Choose the engagement model that works for your stage, budget, and goals.
Ideal for specific initiatives with clear deliverables and timelines.
Embedded technical leadership with predictable monthly commitment.
Flexible consulting for ad-hoc guidance, reviews, and troubleshooting.
We discuss your goals, technical landscape, and constraints to understand the problem deeply.
A clear scope, approach, timeline, and pricing tailored to your engagement model.
Hands-on work with regular check-ins. Architecture, code, and documentation. Real deliverables.
Knowledge transfer, documentation, and support to ensure your team can run with it.
Tell us about your challenge and we'll recommend the right model and approach.
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