FAQ from Sparrow Studio
What is Sparrow Studio?
We’re an AI tool development agency focused exclusively on building intelligent, maintainable, and business-impactful software—specializing in GenAI application engineering, cloud-native architecture, MVP acceleration, and legacy transformation.
How do I begin working with Sparrow Studio?
Book a free 30-minute technical alignment session. No sales pitch—just engineers listening, asking sharp questions, and co-defining what “success” looks like for your AI or software initiative.
Why choose an agency over hiring in-house developers?
In-house hires take 3–6 months to onboard and scale. With Sparrow Studio, you gain immediate access to senior AI/ML engineers, full-stack architects, and DevOps specialists—with no recruitment overhead, equity dilution, or long-term HR commitments.
What payment methods do you accept?
We accept wire transfers, ACH, and major credit cards. All invoices are itemized by milestone or sprint, with clear deliverables and acceptance criteria.
When is payment due?
Typically: 25% upfront, 50% upon milestone completion (e.g., MVP launch or AI model validation), and 25% at final handoff—including documentation, training, and source code delivery.
Can I speak with your team before committing?
Absolutely. Every engagement starts with a no-obligation technical consultation—including a live review of your stack, goals, and potential AI leverage points.
What if the delivered solution doesn’t meet expectations?
We operate under a “build-right-or-rework” commitment. If scope, quality, or performance benchmarks aren’t met, we iterate—free of charge—until aligned with your success metrics.
Can I adjust team size or scope mid-project?
Yes. Our flexible engagement model allows seamless scaling up (e.g., adding ML ops engineers) or pivoting focus (e.g., shifting from MVP to compliance hardening)—with transparent impact analysis.
What’s your cancellation policy?
Projects may be paused or canceled with 15 days’ notice. You retain full ownership of all completed work, including source code, architecture diagrams, and trained model artifacts.
Which technologies do you specialize in?
We’re framework-agnostic—but deeply experienced with Python (LangChain, LlamaIndex, PyTorch), TypeScript/React, Node.js, FastAPI, AWS/GCP/Azure, Kubernetes, Terraform, and CI/CD automation. Tech choices are always driven by your scalability, security, and maintenance needs—not trends.
Do you modernize legacy applications?
Yes—we treat legacy systems as strategic assets. Our approach includes incremental AI infusion (e.g., RAG-powered search), containerization, API abstraction, and automated testing—preserving business logic while unlocking agility.
Who are your typical clients?
Early-stage startups launching AI-native products, growth-stage SaaS companies scaling infrastructure, and enterprise teams modernizing mission-critical systems—across fintech, healthtech, edtech, and industrial software.
Do you handle cloud infrastructure setup and management?
Yes. From zero-to-cloud architecture design and cost-optimized provisioning, to production-grade monitoring, incident response playbooks, and FinOps governance—we own infrastructure reliability and evolution.
How many engineers will be assigned to my project?
We tailor team composition precisely: a typical AI tool engagement includes 1 AI/ML engineer, 1 full-stack developer, 1 DevOps specialist, and a technical product lead—with optional augmentation for QA, UX, or domain-specific SMEs.
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