Solutelabs

SoluteLabs was founded in 2014 and describes itself as rebuilt for AI in 2025. The team includes 70+ AI-native product engineering experts and has more than 10 years of experience building scalable digital solutions for HealthTech and SaaS companies worldwide.

The company reports:

• 150+ products shipped
• 100% referral rate
• 4.7 Clutch rating

Founding team

Karan Shah — Co-Founder and CEO

Karan Shah has 15+ years of experience and works across technology, marketing, sales, and design. He has helped SaaS companies create intelligent solutions and develop go-to-market strategies.

Prakash Donga — Founder and CTO

Prakash Donga has 15+ years of experience turning product ideas into engineered solutions. He leads engineering at SoluteLabs, focusing on continuous innovation, quality standards, teams, and systems.

• AI-Native Product Engineering: AI product development from MVP to production, including multi-agent workflows, web, mobile, and cloud builds, and modernization of operating systems.
• AI Agent and Copilot Development: Custom AI agents and copilots for startups, SaaS products, and enterprises.
• Conversational and Voice AI: Natural-language, multi-turn conversational and voice systems for phone, web, and application environments.
• Enterprise AI Knowledge Systems (RAG): Retrieval-augmented knowledge systems for searching, summaries, answers, and insights grounded in real-world data.
• AI Automation and Workflow Intelligence: Multi-step workflow automation that can make decisions, involve people where needed, and integrate with existing tools.

Platforms

SoluteLabs lists the following platforms and technology partners:

• ElevenLabs
• n8n
• AWS
• Sanity
• Google Cloud

An AI agent operates autonomously in the background, starting tasks based on conditions and executing multi-step workflows. An AI copilot is embedded in a product interface, responds to user input, and provides real-time assistance.

SoluteLabs develops:

• Multi-agent solutions for complex workflows
• Copilots for SaaS products
• Internal workflow agents
• Data and research agents
• Customer support AI agents
• Regulated and compliance agents

Agentic Harness

The Agentic Harness is SoluteLabs' process for developing agents through:

1. Context: Architecture, constraints, standards, domain knowledge, and edge cases are defined upfront.
2. Planning: Structured specifications, reviewed decisions, approval gates, and traceability are established before execution.
3. Execution: Multiple agents work in parallel with isolated tasks, while engineers orchestrate the overall system.
4. Verification: Automated testing, linting, security checks, CI/CD integration, and production-readiness validation run alongside development.

Human oversight remains part of every stage. The client and SoluteLabs define direction, approve what is built, and review the output. SoluteLabs states that most code is AI-generated, while decisions behind it are human.

Typical delivery timeline

• Initial feasibility prototype: same day
• Full observability and cost monitoring: day 1
• Multi-agent system in staging: week 1
• Production-ready agent: weeks 2–4
• Post-launch drift monitoring: ongoing

A working prototype connected to a real API can be ready on day one. Complex multi-agent systems may take longer depending on integration scope.

Production reliability

SoluteLabs designs for latency spikes, hallucinated actions, cost increases, tool failures, and missing audit trails. Its approach includes timeouts, model routing, fallbacks, confidence thresholds, human approval, retry limits, deterministic recovery, cost caps, and traces across prompts, tool calls, actions, and approvals.

Every shipped agent includes observability, cost monitoring, and drift alerting from day one. Post-launch monitoring covers behavioral drift, unexpected output, and performance degradation.

1007 N Orange St., 4th Floor, Suite #1702 Wilmington, Delaware 19801

Delivery Office — India

A1-104, Palladium Towers, Corporate Road Ahmedabad, Gujarat 380015

Contact details

• Email: hello@solutelabs.com
• Phone: +1 (808) 736-7376

SoluteLabs invites prospective clients to share the problem they are building around. The company says it starts with a specification and moves toward something that can be seen and evaluated.

Solutions can integrate with CRMs, contact centers, web apps, mobile apps, enterprise platforms, and IoT devices. SoluteLabs works with ElevenLabs voice, text-to-speech, speech-to-text, and conversational AI capabilities.

Capabilities and use cases

ElevenLabs-based solutions can support:

• Natural-language understanding
• Multilingual voice applications
• AI-enhanced personalization
• Omnichannel deployment across phone, web, mobile, smart speakers, and in-app experiences
• Sales, outreach, and customer support agents
• Conversational commerce
• Training and onboarding agents

SoluteLabs can take projects from proof of concept to production deployment and global rollout. The company also describes ongoing monitoring, optimization, and enhancement rather than a one-time handoff.

Hiring process

1. Share conversational AI requirements.
2. Meet pre-vetted ElevenLabs experts and choose the right fit.
3. Build and scale the voice-first solution with ongoing support.

Proofs of concept may be launched within days to a few weeks depending on complexity. SoluteLabs states that ElevenLabs partner credits and pre-built frameworks can accelerate delivery.

Diagnostic Reporting Modernization

Undocumented Japanese Excel macros were replaced with cloud and offline applications that automate diagnostic reporting for Synergy Marine Group.

Maritime Digital Transformation

Crew, vessel, and payroll systems were rebuilt for 37,000+ seafarers. The project included full-suite applications, migration of 1M+ seafarer records to AWS, and an offline-first architecture for ships with limited connectivity.

Pharmacogenetics Voice AI

Two secure voice AI agents were built and handed over to a US pharmacogenetics client. The system included secure outbound-call authentication before PHI disclosure and RAG-powered denial notifications with API-sourced drug alternatives. Delivery took two months.

Fortune 500 Retail Knowledge Platform

A confidential Fortune 500 retailer with 2,800+ stores across 110+ countries received a multi-agent AI platform connecting documents, analytics, and loyalty systems. The platform used RAG, multi-agent orchestration, and Google Cloud, with a six-month timeline.

Concierge Pediatric Practice

SoluteLabs built one operating layer for a pediatric practice. The system supports clinic, home-visit, telehealth, phone, and demo bookings, with clinician review before notes enter the medical record. The same record is available in the portal and parent app.

AI Learning Platform for Financial Training

Three disconnected content sources were combined into a searchable, voice-enabled AI learning experience. The project ingested a 500+ page finance book, synchronized and indexed video transcripts, and grounded answers in proprietary course, video, and book content. The core build took approximately six weeks.

School Canteen Platform

A full product build replaced paper slips with iOS and Android apps, a web portal, payments, and a nutrition engine. The platform included a Stripe-integrated wallet and real-time order tracking, serving 33 schools, 13,868 active parents, and 18,956 students.