Evidence, not theatre
Every capability ships with evaluation hooks: traces, golden sets, and release artefacts your security and quality teams can inspect.
Aarohii AI Solution Private Limited is an intelligence-first product engineering company. We were founded to solve the hardest problem in enterprise AI: getting models and pipelines from promising demos into reliable, observable, production systems. Our senior team combines deep AI/ML engineering with battle-tested quality architecture — so your AI products ship faster, break less, and earn user trust from day one.
Most “AI initiatives” stall between a prototype and something operators trust. We started Aarohii to close that gap: ship products where intelligence 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.
Aarohii AI Solution Private Limited was founded by Rohann Niggam, a QA architect and technical product leader with 14+ years shipping and hardening platforms. Before Aarohii, Rohann:
"AI only earns a seat at the production table when it is measurable. I wanted a company that writes that requirement into the product charter—not the footnotes."
— 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 AI-native UI testing, AI-driven 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 people building with you are not. Expect principal-level attention on architecture, model risk, and how releases behave under load.
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:
You own a digital surface (web, mobile, or internal tools) where UI regressions cost revenue or trust. You want AI assistance that produces auditable evidence, not black-box clicks.
Brokerages, developers, and property managers reconciling leads, inventory, contracts, and field work across disconnected tools.
Enterprises piloting AI inside regulated or high-stakes journeys. You need partners who speak both model metrics and control frameworks.
Figures below describe our studio honestly—Aarohii AI Solution is new; depth comes from the people behind it.
"We started AAROHII AI SOLUTION because we saw too many companies struggle with the same problem: choosing between moving fast and building quality. The truth is, you can have both—but only if quality is architected into your development process from the beginning, not bolted on at the end."
— 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 and FinTech systems 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 generative AI products, intelligent automation, and AI-augmented quality engineering — and we go deep on each.
No juniors on AI work that touches production. Every Aarohii engagement is led by a principal-level engineer with real deployment experience.
Early clients co-develop evaluation frameworks and product instrumentation with us. You get influence over the roadmap; we get a reference customer who can validate results.
Let's discuss how AAROHII AI SOLUTION can help you build scalable, reliable software that drives 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 AI platforms, LLM providers, vector databases, and MLOps tooling — aligned to your specific requirements, not vendor 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, vendor negotiations, 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, media analytics, and compliance automation.
Launch Partner Discount: 20-30% off for early clients
Secure, compliant financial applications built by specialists
Regulated financial platforms demand both AI capability and compliance rigor. We bring both — intelligent risk models, fraud detection pipelines, and audit-ready ML systems for FinTech companies.
Launch Partner Discount: 20-30% off for early clients
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 regression regressions before production.
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 AI Solution is a new studio; the team behind it has shipped serious software before—in prior roles across SaaS, FinTech, and regulated environments.
Our founding engineering team brings together expertise from:
Depth comes from prior engagements—we bring that discipline to every new build.
A short, candid view of the product surface area we are hardening—no vaporware labels.
Cross-flow exploration, regression intelligence, and human-readable evidence packs for release sign-off.
Technical detailLead-to-handover orchestration with AI summarising exceptions your brokers and finance teams still approve.
Technical detailEarly research on responsible reach, signal quality, and operator-safe automation—details shared under NDA.
Early partner programA compact team building AI products with the same rigor we demand from production systems.
QA architect and technical leader—AI-enabled products, enterprise, and regulated stacks.
View profileDriving operational excellence and client success.
Leads applied AI research initiatives and LLM integration strategy, ensuring every model we deploy is production-grade and explainable.
Owns product roadmap and design systems across Aarohii's SaaS portfolio, translating complex AI capabilities into intuitive user experiences.
Limited cohort for 2026. We reserve capacity for teams who want to co-develop evaluation harnesses and product instrumentation—not generic staff augmentation.
Partners receive senior-led delivery on agreed milestones, 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.
Principles 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 SaaS, FinTech, and regulated stacks—applied to how we design models, UX, and operations together.
We concentrate on AI UI intelligence, real-estate orchestration, 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
AI UI testing, real-estate orchestration, 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.
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