Rohann Niggam
Founder & CEO
QA → product → founder. Leads Pixelpeep, Captverse, and AI integration for new and existing products.
View profileAarohii AI Solution Private Limited is an intelligence-first venture: we help you meet AI for products you are building fresh or already operate in production. Our public product bets are Pixelpeep (UI testing) and Captverse (real estate operations)—plus custom AI delivery when the fit is mutual. Healthcare and other regulated work are secondary, not our headline.
Most AI initiatives stall between a prototype and something operators trust. We started Aarohii to close that gap for new and existing products: ship intelligence that is observable, testable, and owned—not bolted on after the fact.
Our bias is toward instrumented AI: every feature ships with the hooks you need to measure drift, regressions, and business impact.
Rohann started Aarohii with the same mindset he brings to QuickVikalp (custom software for SaaS and real estate, with selective healthcare): ship work you can stand behind, not demos that fall apart after launch.
"AI should only go live when you can see that it works—not when a slide deck says it might. We built Aarohii to make that the default, not an afterthought."
— Rohann Niggam, Founder & CEO
We are not a volume outsourcing shop. We are a small team building a focused product line, with room for a handful of deep partnerships where the problem maps to what we already know how to prove.
Our public roadmap centers on Pixelpeep (UI testing), Captverse (real estate operations), and social-media intelligence—each with clear evaluation criteria before we ask anyone to bet a quarter on it.
Aarohii is young; the specialists building with you are not. Expect deep attention on architecture, model risk, and how releases behave under load—from people who have done it before.
We work with a small number of design partners while products mature. If the fit is not mutual, we will say so early.
Teams that need AI to be accountable—not theatrical:
Brokerages, developers, and property managers reconciling leads, inventory, contracts, and field work across disconnected tools. Our real estate product Captverse is built for this journey—launching soon.
You own web or mobile products where UI regressions cost revenue or trust. Our UI testing product Pixelpeep is built for evidence-rich checks—not black-box automation alone.
Enterprises piloting AI inside financial services, compliance-heavy SaaS, or selective healthcare journeys. You need partners who speak both model metrics and control frameworks.
Figures below describe our studio honestly—we are a new venture; depth comes from the people behind it.
"The best AI systems are those where the user never has to ask 'Is this model hallucinating?' because the instrumentation tells them exactly what happened."
— Rohann Niggam, Founder & CEO
Most AI projects fail between prototype and production. We specialise in the gap — evaluation harnesses, observability layers, and deployment pipelines that make AI systems actually reliable.
Our founders spent 14+ years hardening SaaS, real estate, testing tools, and regulated systems (including selective healthcare) before building AI products. That discipline—testability, release governance, audit trails—is baked into every model we ship.
We help clients answer the hard questions first — which AI use cases are worth building, what data is actually usable, and where governance is non-negotiable — before a single line of model code is written.
We don't claim every AI vertical. We focus on Pixelpeep (UI testing), Captverse (real estate), and AI-augmented delivery for SaaS—plus selective regulated work including healthcare when it's a mutual fit.
Every Aarohii engagement is led by specialists with over decades of experience in AI/ML, product design, and quality engineering—with real deployment experience.
Early clients co-develop evaluation frameworks and product instrumentation with us. You get influence over the roadmap; we get partners who validate results in production.
Let's discuss how we can help you build scalable, reliable AI systems that drive your business forward.
Start a ConversationTailored engineering for ambitious companies
Know exactly where and how AI creates value in your business — before you build
Most companies jump to AI tooling before answering the harder questions: which processes should AI touch, which data is usable, which risks need governance, and what does success actually look like? We help you answer those questions with rigour — then build the roadmap that follows.
A structured audit of your existing workflows to identify the highest-ROI AI integration points — scored by impact, data readiness, and implementation complexity.
Evaluate your data quality, infrastructure maturity, and team capabilities against what each AI use case actually requires — before you commit budget.
Objective assessment of LLM providers, vector databases, and MLOps tooling—aligned to your requirements and existing product constraints, not marketing claims.
Responsible AI policies, model risk management protocols, and human-in-the-loop design patterns that satisfy enterprise procurement and regulatory expectations.
A prioritised, resource-aware roadmap — from quick wins to foundational platform plays — that your board, engineering team, and investors can all read from the same page.
Monthly strategic guidance as your AI initiatives evolve—architecture reviews, model performance debriefs, platform and licensing decisions, and emerging technology watch.
Building the cognitive core of your next-gen application
We design, fine-tune, and deploy large language model pipelines for production SaaS — RAG architectures, agentic workflows, evaluation frameworks, and observability layers built in from the start.
Customizing GPT-4, Claude, and Llama 3 for your specific business logic and data.
Building autonomous agents that handle complex workflows, from customer support to data analysis.
Reducing manual toil by up to 90% through AI-driven process optimization.
Turning your data into foresight with custom machine learning models.
From MVP to enterprise-ready platform, built for scale
End-to-end SaaS product builds with AI at the core — from architecture and data models to frontend interfaces. We've built AI products in real estate intelligence, UI testing, media analytics, and compliance automation.
Launch Partner Discount: 20–30% off for early clients
Governed AI for financial services and high-stakes SaaS—we take selective healthcare work when the fit is clear
Our primary bets are Captverse (real estate) and Pixelpeep (UI testing). When your product touches sensitive data or regulated journeys, we still build intelligent features with audit trails, human-in-the-loop review, and evaluation harnesses your compliance teams can inspect.
AI-assisted brand consistency, content workflows, and social media presence
Help your product and brand show up consistently across channels. We design AI-assisted workflows for content planning, social media presence, signal quality, and operator-safe automation—aligned to your voice and compliance boundaries.
Predictive quality that catches bugs before they happen
Redefine your QA with AI-powered test generation, self-healing automation, and model evaluation pipelines. Our QA architects design frameworks that catch model drift, data anomalies, and production regressions before they reach your users. Pixelpeep, our public UI testing product, launches soon.
Assessment, tool selection, and process design.
Web, mobile, and API automation (Selenium, Cypress, Playwright).
Load, stress, and scalability testing.
Vulnerability scanning and penetration testing.
Native and cross-platform mobile applications
Build high-quality mobile apps for iOS and Android using native or cross-platform technologies. We help you choose the right approach based on your requirements and budget.
Launch Partner Discount: 20–30% off for early clients
User-centered design that drives engagement and conversion
Designing for AI means designing for trust. Our product designers specialize in AI-first UX — explainability, progressive disclosure of model outputs, confidence indicators, and human-in-the-loop flows.
Aarohii is a new venture; the specialists behind it have shipped serious software across real estate, testing tools, SaaS, and regulated environments—with healthcare experience where compliance demands it.
Our founding engineering team brings together deep expertise in:
We bring enterprise-grade discipline to every new build.
Pixelpeep is our UI testing product; Captverse is our real estate product—both launching soon at their domains. These are what we showcase openly (not QuickVikalp client work under NDA).
UI testing product—AI-assisted visual and flow checks, regression intelligence, and human-readable evidence packs for modern web apps.
Real estate product—lead-to-handover orchestration, inventory and contract workflows, with AI summarising exceptions your brokers and finance teams still approve.
A short, candid view of the product surface area we are hardening—no vaporware labels.
Expanding CRM, finance, and document integrations for brokerages and asset operators—same real estate product, deeper operator workflows.
Early research on responsible reach, signal quality, and operator-safe automation—details shared under NDA.
A compact team building AI products with the same rigor we demand from production systems.
Founder & CEO
QA → product → founder. Leads Pixelpeep, Captverse, and AI integration for new and existing products.
View profileCo-founder
Operational excellence and client success across delivery and partnerships.
AI research lead
Applied AI research and LLM integration—production-grade, explainable models.
Product & design lead
Roadmaps and design systems that make complex AI capabilities feel intuitive.
Practical AI guides for product teams—shareable, indexable, and updated as we publish.
Skip hype when measurement, data, or safety are not ready.
Choose retrieval or training before you lock spend.
Latency, failover, and governance—not leaderboard scores.
Tests, logs, budgets, and rollback before scale.
Two engagement models—whether you bring the product or we co-build an approach with shared upside.
You bring a new or existing product and requirements. We scope AI integration or greenfield features, deliver on milestones, and support ongoing maintenance after launch.
We propose an AI approach with minimum upfront cost. Compensation aligns on commission or revenue share—often through our early design partner cohort.
Limited cohort for 2026. Priority fit: teams shaping Pixelpeep (UI testing) or Captverse (real estate). We also consider regulated SaaS partners—including selective healthcare—when instrumentation goals align.
Partners receive specialist-led delivery on agreed milestones (Model B: minimum upfront, commission-aligned), transparent burn-down of risk, and preferential economics while we calibrate pricing for the market.
Engagements may include anonymised case material and recorded walkthroughs in lieu of public references during the program.
2026 cohort
3 active slots
Limited capacity—fit calls are scoped, not sales pitches.
Request a fit callPrinciples we apply to every product line—not generic agency slogans.
Every capability ships with evaluation hooks: traces, golden sets, and release artefacts your security and quality teams can inspect.
Founder-led discipline from years of hardening real estate, testing, SaaS, and regulated stacks—applied to how we design models, UX, and operations together.
We concentrate on Pixelpeep (UI testing), Captverse (real estate), and a disciplined social roadmap—rather than claiming every vertical on earth.
No fabricated five-star reviews—here is how we stay accountable while the studio is still young.
Evidence
Every serious capability ships with traces, golden sets, or human-in-the-loop checkpoints you can audit—before we ask for production trust.
Roadmap
Pixelpeep (UI testing), Captverse (real estate), and social intelligence are sequenced explicitly—no vague “we do everything” claims.
Partners
We work with a small number of teams at a time. When reference stories exist, they will name real companies and outcomes—not stock avatars.