AI-Native App Development
Custom AI applications with sub-second token streaming and verified grounding.
Engineering Approach & Outcomes
Modern AI applications demand far more than a simple API key connection. Enterprise buyers expect sub-second token streaming, deterministic business logic, strict role-based data access (RBAC), and zero data leakage.
At Solid Sphere, our senior architects build AI software with high-throughput streaming interfaces, resilient fallback gateways across Claude and GPT-4o, and evaluation pipelines that catch hallucinations before code reaches users.
Whether you are creating a domain-specific conversational copilot or automating complex internal multi-step knowledge workflows, we ship testable software in fixed-scope sprints with 100% intellectual property handover.
Key Architecture Deliverables
Multi-Model Gateway & Routing
Intelligent dispatch across Claude, OpenAI, and open-source models with automated latency fallbacks and token budget caps.
Streaming UI & Copilot Interfaces
Responsive Next.js React 19 frontend with optimistic updates, markdown formatting, and structured tool-calling visualizations.
Private Embedding & Chunking Pipelines
Automated document parsing for PDF, DOCX, and enterprise repositories with hybrid vector and keyword reranking.
Observability & Latency Monitoring
OpenTelemetry tracing measuring token consumption, cost per prompt, cache hit ratio, and user sentiment.
Production Tech Stack
StarryAI Mobile Art Suite
Scaled to 10M+ downloads with sub-2-second on-device and cloud diffusion.
Fixed-Scope Sprints
We lock in exact acceptance criteria, milestone demos every 10 days, and full IP handover. Senior-led with zero junior hand-offs.
Frequently Asked Questions
Straightforward answers about our AI App Development engagements.
How do you prevent hallucinations in AI applications?▼
We employ strict citation grounding, hybrid semantic search, and deterministic schema validation (Zod / JSON mode). Every response is anchored to source documents with verifiable source links.
Who owns the code and trained model weights?▼
You own 100% of all code, prompts, configurations, and data embeddings from day one. Everything lives directly in your repository.
Can we integrate with our internal permissions (SSO / RBAC)?▼
Yes. We enforce tenant-level and document-level access controls at the vector search layer, ensuring users only retrieve information they are explicitly cleared to access.