How fast can you ship an MVP?

21 calendar days from kickoff to production deploy on the 21-Day MVP path. Custom Software builds run 6 to 26 weeks depending on scope.

How much does an MVP cost?

21-Day MVP from $5,000 USD. Custom Software Development from $11,000. AI Development from $7,000. Final quote depends on scope and integration count.

What stack do you use?

Default stack: Next.js, TypeScript, Node.js, Python, PostgreSQL, AWS, Stripe, Clerk, OpenAI, Anthropic Claude.

What services does Parallel Loop offer?

Three service lines: 21-Day MVP Development (from $5,000), Custom Software Development (from $11,000), and AI Development and AI Agents (from $7,000). Within these, 11 specialised service pillars including mobile app development, ecommerce, automation, CRM integration, cloud DevOps, and enterprise solutions.

How is the 21-Day MVP different from Custom Software?

The 21-Day MVP is productised with fixed scope, fixed price, and fixed 21-day timeline. It fits single-workflow products with off-the-shelf integrations. Custom Software is bespoke, sprint-based, and runs 6 to 26 weeks for products with multiple workflows, regulated scope, or enterprise integrations.

What stacks do you support?

Default stack: Next.js, TypeScript, Node.js, Python, PostgreSQL, AWS, Stripe, Clerk, OpenAI, Anthropic Claude. We can work in Java, .NET, Go, Ruby, PHP, Swift, Kotlin where the existing landscape requires it.

Do you offer AI development separately?

Yes. AI Development and AI Agents is a separate service line covering chatbots, generative AI, machine learning, computer vision, NLP, and AI consultation. From $7,000 for a chatbot MVP up to $35,000+ for a custom AI platform.

What is included in pricing?

Working software, full source code, CI/CD pipeline, staging plus production environments, runbook, monitoring setup, dual on-call cover for 2 weeks post-launch. We do not charge separately for architecture, design, or QA. They are part of every engagement.

Can you handle compliance and security?

Yes. We build HIPAA, PCI DSS, SOC 2 Type II, GDPR, ISO 27001, NERC CIP, IEC 62443 architecture where the build requires it. We do not issue audit certificates. We build the architecture and evidence collection that supports your audit firm.

Do you offer maintenance after launch?

Yes. Maintenance retainer from $2,200 per month. On-call cover, dependency upgrades, small features, security patching. SLA-backed. We do not require a retainer to do a build; we offer it as an option.

How fast can you start?

Typically 2 to 4 weeks from scoping call to kickoff. We do not double-book the team.

What is the average engagement length?

21-Day MVP: 21 calendar days. Custom Software: 6 to 26 weeks. AI Development: 4 to 20 weeks. Maintenance retainers run month to month.

How do I know which service line fits?

Book the free 45-minute scoping call. 30 minutes on your build, 15 minutes on which path fits. We tell you at the call if your build does not fit our service lines.

Can you use OpenAI or Claude in a mobile app?

Yes. Streaming responses via Server-Sent Events or chunked HTTP for low perceived latency. We never put API keys in the app. The backend proxies the call, applies rate limiting, and bills per user. PII redaction on input where required.

What about hallucinations?

Grounded RAG for factual claims. Citation to source. Confidence scoring. Human-in-the-loop where stakes demand it. Hallucination monitoring in production via output sampling. Zero hallucination is not honest engineering, but we measure and reduce.

How fast is on-device AI?

Sub-100ms typical for vision and OCR via Core ML or ML Kit. Sub-1s for on-device LLM via Gemini Nano or distilled models. Heavier models (GPT-4o equivalent) are not viable on-device yet and go to cloud.

Cloud AI costs add up at scale. We architect with cost controls: rate limiting per user, response caching for repeated queries, lower-cost models (GPT-4o-mini, Claude Haiku) for non-critical paths, and tier-based access via subscription so heavy users pay more.

Can you build voice and chat features?

Yes. Whisper or Apple Speech for transcription. ElevenLabs or Apple Speech Synthesis for voice output. Streaming chat with conversation memory. Voice-first interface patterns for hands-free use cases.

What about AR plus AI?

Yes. ARKit on iOS, ARCore on Android. Camera-based AI features like object recognition, document scanning, plant or product identification. Real-time AI overlay on AR scene.

AI-Powered Mobile Apps

AI-Powered Mobile Apps. On-device or cloud AI. Production-ready.

Mobile apps with AI features baked in: chat, vision, voice, recommendations, document understanding. On-device inference via Core ML and ML Kit for latency and privacy, or cloud AI via OpenAI, Anthropic Claude, and Gemini for capability. Shipped in 10 to 18 weeks. USD pricing.

Book a Free Call →See how we work ↗

Tell us the AI feature you want, platform targets, and whether on-device or cloud fits. Scoped plan plus quote within 3 business days.

10–18WEEKS TO SHIP

$8K+AI MOBILE MVP

On-deviceOR CLOUD AI

EvalHARNESS

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How we work

Overview: Three phases from AI scoping to live in the stores. The eval harness is authored in week 1 so we measure quality before we ship.
Step 1 — Scope and architecture: Two weeks scoping plus eval. AI feature definition. On-device vs cloud decision. Eval set of 50 to 200 representative inputs. Quality and latency targets set.
Step 2 — Build in sprints: 6 to 12 weeks build. Two-week sprints. AI feature tested against eval set every sprint. Hallucination rate, accuracy, and cost-per-call monitored. Native iOS plus Android or cross-platform.
Step 3 — Harden and launch: 2 weeks hardening plus dual store submission. Privacy review (on-device data flow, cloud subprocessor BAA where applicable). ATT, Play Data Safety. Average submit to live: 5 to 10 days.

Recent mobile AI builds

Recent AI-powered mobile and mobile-adjacent builds.

Care PlusAI home-care mobile app

Mobile app for home-care professionals with on-device AI for documentation. Offline-first. Cloud LLM for synthesis when network is available.

MediPyxisAI hospital mobile companion

Companion app to hospital workflow platform. AI summaries, voice-to-text for clinical notes, RAG over patient context with clinical audit trail.

Read case study →

GetLemAI compliance mobile app

Mobile front-end to AI compliance platform with grounded RAG, citation, and human review workflow.

Read case study →

Full library on the case studies page →

What we deliver. AI Mobile

On-device AI via Core ML, ML Kit, or Gemini Nano

Core ML for iOS on-device inference (vision, text, speech). ML Kit for Android. Gemini Nano on supported Pixel devices. Use on-device when latency or privacy demands it.

Cloud AI via OpenAI, Anthropic, Gemini

GPT-4o, Claude Sonnet, or Gemini via API for tasks beyond on-device capability. Streaming responses for low perceived latency. Cost tracking per user and per feature.

Eval harness and hallucination monitoring

Custom eval set per AI feature. CI runs the eval set on every PR. Production sampling for hallucination monitoring. We do not ship AI features without measurement.

Speech, vision, and document features

Whisper or Apple Speech for transcription. Vision framework or ML Kit for OCR and document scanning. Live camera AR overlays with ARKit or ARCore.

Privacy and compliance

On-device inference for sensitive data. BAA-covered cloud (Azure OpenAI or AWS Bedrock) for HIPAA workloads. Audit log of every AI query for regulated use cases. ATT and Play Data Safety filed correctly.

Cost and usage controls

Per-user cost tracking. Rate limiting to prevent abuse. Caching for repeated queries. Tier-based access (free, paid, enterprise) via Stripe Billing or RevenueCat.

Typical engagement ranges

AI mobile MVP

From $8,000

Single AI feature in a mobile app. On-device or cloud.
Cross-platform via React Native or Flutter.
App Store and Play Store submission included.
10 to 14 weeks.

Production AI mobile app

From $14,000

Multi-feature AI mobile app.
Eval harness, hallucination monitoring, cost controls, privacy review.
Native iOS plus Android or polished cross-platform.
12 to 18 weeks.

Custom AI mobile platform

From $21,000

Multi-app AI mobile platform with shared AI backend and multi-tenant features.
Enterprise distribution.
Common for healthcare, fintech, and legal verticals.
16 to 24 weeks.

Maintenance retainer

From $2,200 / mo

On-call cover, prompt updates, eval set expansion, model migration, hallucination monitoring.

Indicative USD ranges. Final quote depends on integration count, regulatory scope, and timeline. Exact scope and pricing locked on the scoping call.

FAQ

On-device wins when you need sub-100ms latency, when the data must not leave the device (healthcare, personal data), or when offline support is required. Cloud wins when you need GPT-4o or Claude Sonnet capability, when the model is too large for the device, or when you can pay per call. We pick at scoping based on your use case.

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