An AI services company helps businesses identify where AI creates measurable value, builds the AI products or features that deliver that value, and integrates AI capability into systems that already exist. AppVerticals covers all three: consulting to define the roadmap, development to build the product, and integration to connect AI to existing operations.
AI consulting defines what to build and in what order before any development begins. The output is a roadmap, a cost-benefit model, and a scoped plan. AI development takes that plan and builds the actual product or feature. If you already have a defined scope, you need development. If you do not have a defined scope yet, start with consulting.
Yes. AI integration embeds AI capability into systems, platforms, and workflows that already exist, without replacing them. AppVerticals has integrated AI into Microsoft Teams, Atlassian developer toolchains, electronic health record systems, and live equipment data APIs from John Deere. The existing systems stay intact throughout the integration process.
A specialized AI development agency architects the model approach before writing code, defines accuracy benchmarks at the start, applies cost controls from sprint one, and includes post-launch monitoring as part of delivery. A regular software company integrates a model API without making those decisions, producing a system that works in a demo and fails in production when the API changes or the model drifts.
A focused AI pilot or proof of concept typically runs 10 to 14 weeks from architecture sign-off to production deployment. An enterprise-scale AI product or platform integration typically runs four to nine months, depending on data readiness, compliance requirements, and integration complexity. AppVerticals scopes timelines at the architecture stage, not as an estimate provided after the fact.
AppVerticals builds with foundation models from OpenAI, Anthropic, Google, AWS Bedrock, Meta, and Mistral, as well as open-weight models for on-premise deployments. Orchestration uses LangChain and LlamaIndex. Vector databases include Qdrant, Pinecone, and Weaviate. Application layers are built on Flutter, React, Next.js, FastAPI, and Python.
AppVerticals builds AI for HealthTech, EdTech, Logistics, Real Estate, FinTech, and e-commerce, as well as cross-industry enterprise operations. HIPAA-compliant builds for healthcare, SOC 2-aligned architectures for SaaS platforms, and EU AI Act readiness assessments are part of the delivery capability.
Yes. AppVerticals is ISO 27001 certified and applies HIPAA-compliant delivery methodology to healthcare AI builds. NIST AI RMF-aligned governance reviews are available on all consulting engagements. EU AI Act readiness support is available for organizations building in or selling into the European market.
