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Backed by the expertise of 200+ AI engineers and data scientists and having received multiple recognitions, including the Leader in AI Product Engineering & Digital Transformation 2025 award by The Economic Times, we enable enterprises to unlock true value with AI while ensuring governance and trust.
Our Core Capabilities
AI-Powered Solutions Delivered
Data Scientists & AI Engineers Onboard
Custom AI Models Trained and Deployed
Enterprise AI Integrations Completed
We create AI strategies that align with enterprise infrastructures, compliance needs, and business goals. Our cloud-native frameworks are modular, secure and designed for governance and continuous learning.
We define AI goals that map directly to enterprise platforms, hybrid cloud setups, and KPIs, so the strategy isn’t just theoretical but execution-ready.
Using telemetry and readiness scoring, we identify where AI brings the highest value, avoiding wasted investment and ensuring a focused roadmap.
As a generative AI consulting company, we help enterprises innovate using LLMs like GPT, LLaMA, and Stable Diffusion with the right strategy, governance, and integration roadmap. Our focus is on building multimodal applications that deliver measurable business impact.
We advise enterprises on how to integrate LLMs for summarization, content generation, and image synthesis, embedding creativity into business workflows with the right governance.
Through consulting on RAG pipelines, vector databases, and orchestration frameworks, we help organizations translate generative AI into sustainable competitive advantage.
Our team runs audits across data pipelines and ML frameworks to spot high-value opportunities. By combining maturity models with architectural gap analysis, we ensure every recommendation is practical and aligned with business priorities.
We examine data sparsity, pipeline resilience, latency, and interoperability, giving a clear view of whether your enterprise is truly AI-ready.
Opportunities are ranked by feasibility, GPU needs, and integration costs, so leadership can double down on initiatives that will pay off.
We embed AI into enterprise ecosystems via APIs, microservices, and containerized deployments. With CI/CD workflows and real-time inference, integration becomes smooth, not disruptive.
AI modules are connected with ERP, CRM, and even legacy systems, modernizing workflows without breaking what already works.
NLP, OCR, and RPA combine with event-driven pipelines to automate repetitive processes, freeing resources for higher-value work.
We build domain-specific AI systems using deep learning and supervised models, delivering secure, production-ready solutions that scale with your business. Backed by our artificial intelligence advisory services and consultancy expertise, every build is aligned with enterprise strategy, compliance needs, and long-term value creation.
From ensemble learning to feature engineering, we create models tuned to industry-specific challenges, not just generic templates.
Containerized ML solutions with modular APIs and GPU acceleration are delivered from prototype to production with enterprise security built-in.
We refine AI performance by tuning hyperparameters, pruning models, and applying ONNX conversion. The result is faster models, reduced costs, and better accuracy.
Grid and Bayesian searches are applied for parameter optimization, while retraining keeps models sharp in changing environments.
Older models are transitioned to lightweight, high-speed runtimes, improving both inference time and scalability.
We structure AI projects with agile sprints and phased deployments. This approach cuts risk, improves predictability and accelerates value realization.
Complexity tiers, compute limits, and documentation standards are defined upfront, keeping projects grounded and realistic.
With drift detection, pilot testing, and failure injection, enterprises avoid costly errors before full rollout.
We validate AI systems for reliability, fairness, and compliance. Stress tests, bias detection, and explainability ensure production-grade performance.
K-fold validation, SHAP/LIME explainability, and fairness scoring confirm that models are accurate and trustworthy.
Synthetic data and latency testing simulate real-world enterprise loads — preparing AI for production at scale.
We build robust infrastructures with Kafka, Spark, and Snowflake, unifying structured and unstructured data for enterprise AI.
ETL/ELT pipelines with schema evolution and monitoring keep data pipelines reliable and ready for AI workloads.
Using APIs, CDC tools, and federated queries, we connect siloed datasets, ensuring data flows smoothly across the organization.
As a trusted artificial intelligence consultancy, we design governance frameworks that ensure transparency and accountability. Our aim is to back the product with responsible AI practices that’s both fair and compliant.
From interpretability to bias detection, we embed fairness and ethical guardrails into every deployment.
Audit trails, access controls, and accountability dashboards make AI systems transparent and regulator-ready.
We deliver observability frameworks that track models in real time. Drift, bias, and performance issues are caught early, before they impact outcomes.
F1, latency, entropy, and distribution metrics are tracked to detect anomalies quickly.
Canary rollouts, automated retraining, and rollback strategies ensure AI systems stay reliable and cost-efficient.
Stop guessing if your infrastructure can handle AI. Get an audit of your data maturity, governance, and architecture before you invest a single dollar in development.
Americana needed to automate delivery management across 12 countries but struggled to align AI automation with workforce oversight and regional regulations.
We provided governance-led AI consulting, advising on process automation, multilingual orchestration, and risk controls. Our framework ensured efficiency gains without compromising leadership oversight or compliance.
Flynas, a budget airline, needed an AI-backed app strategy to simplify bookings and check-ins while improving customer loyalty under tight regulatory oversight.
We advised on AI-driven personalization, chatbot adoption, and compliance frameworks, then guided redesign of booking flows and customer support integration, balancing automation with airline industry governance requirements.
A fast-growing SMB platform needed to leverage AI for document processing while ensuring data security, compliance, and safe scaling.
We consulted on secure AI adoption, defining access controls, data expiry policies, and monitoring mechanisms. Our advisory approach enabled actionable insights from documents while safeguarding sensitive business data.
Vyrb wanted to reshape how people communicate via wearables but lacked a clear AI strategy to support voice-based social messaging and user adoption.
Our AI consulting team defined the roadmap for a wearable-first voice platform, advising on conversational AI integration, noise filtering, and adoption pathways. This ensured the solution was designed for scale, compliance, and long-term engagement.
Chat & More wanted to create a next-gen messaging platform with emotion-driven personalization but needed clarity on how to responsibly apply generative AI.
We provided consulting on LLM adoption, governance, and bias mitigation, then guided the integration of features like custom greetings, expressive stickers, and dynamic replies, ensuring personalization aligned with ethical AI practices.
HouseEazy aimed to simplify real estate buying with transparent, data-driven pricing but lacked the framework to govern data accuracy and AI reliability.
Our AI consultants developed the strategy for a valuation engine, advising on model selection, data governance, and explainability to ensure property price predictions were both transparent and trusted by buyers.
We approached Appinventiv with a clear vision to build a robust and future-ready platform that could seamlessly integrate with the busy lifestyle of our customers while uplifting their overall experience and giving us a competitive edge. The Appinventiv team not only understood our vision but also enhanced the overall solution with their expertise. The end results exceeded our expectations with massive improvements in the user base and digital revenue for different brands.
We were looking for an agency that would understand the direness of the hourly worker job search cycle situation when we came across Appinventiv. What we liked about the team is how they did not just understand what we were looking for but also gave us ideas on how we could make the process more efficient and simplified for the jobseekers through their empathy mapping skillset.
Tell us the industry you belong to, and we’ll craft a tailored strategy that fits your unique goals.
ISO/IEC 27001 (Information Security Management Systems)
ISO/IEC 27701 (Privacy Information Management)
SOC 2 (System and Organization Controls for Security & Availability)
CCPA (California Consumer Privacy Act)
PIPEDA (Personal Information Protection and Electronic Documents Act – Canada)
FISMA (Federal Information Security Management Act – USA)
ISO/IEC 23894:2023 (AI Risk Management)
IEEE 7000 Series (Ethics and Transparency in Autonomous & Intelligent Systems)
Model Cards and Datasheets for Datasets (Explainability & Documentation Standards)
Explainable AI (XAI) Principles and Implementations
Fairness, Accountability, and Transparency (FAT ML) Standards
Responsible AI Toolkits (Microsoft, Google, and IBM)
AI Model Governance & Auditability Frameworks
Bias Detection and Mitigation Standards
ISO/IEC 27001 (Information Security Management Systems)
ISO/IEC 27701 (Privacy Information Management)
SOC 2 (System and Organization Controls for Security & Availability)
CCPA (California Consumer Privacy Act)
PIPEDA (Personal Information Protection and Electronic Documents Act – Canada)
FISMA (Federal Information Security Management Act – USA)
ISO/IEC 23894:2023 (AI Risk Management)
IEEE 7000 Series (Ethics and Transparency in Autonomous & Intelligent Systems)
Model Cards and Datasheets for Datasets (Explainability & Documentation Standards)
Explainable AI (XAI) Principles and Implementations
Fairness, Accountability, and Transparency (FAT ML) Standards
Responsible AI Toolkits (Microsoft, Google, and IBM)
AI Model Governance & Auditability Frameworks
Bias Detection and Mitigation Standards
We’ve successfully led more than 300 projects in AI adoption consulting, helping organizations move beyond experimentation into production-ready impact. Our AI strategy consulting services align enterprise data, workflows, and KPIs with scalable outcomes.
By leveraging pre-built accelerators, modular MLOps pipelines, and cloud-native frameworks, we cut time-to-deployment by 85%. Our custom AI strategy consulting services for enterprises ensure implementations are faster, cost-efficient and built to last.
As one of the leading AI consulting firms, we’ve delivered AI solutions across finance, healthcare, logistics, and retail, maintaining a flawless compliance record. From GDPR to HIPAA to SOC 2, our enterprise services meet regional and industry-specific regulations from day one.
Transform operations with our innovation-led AI consulting frameworks and
achieve
measurable outcomes:
We handle the entire lifecycle including discovery, model development, deployment, and optimization. This full-cycle AI consulting for businesses ensures accountability and speed without burdening your internal teams.
Access artificial intelligence consultants, ML engineers, and data scientists on tap. A flexible model, perfect for enterprises or startups that need custom AI strategy consulting services to accelerate timelines or scale quickly.
Work with us on defined deliverables like audits, proof of concepts, or LLM integrations. This approach gives predictable outcomes, fixed timelines, and transparent results with minimal overhead.
Experiment fast in a sandbox environment. Our AI consultancy & services co-create prototypes, validate ideas, and test feasibility, helping you de-risk before enterprise-wide scaling.
Post-deployment, we keep your AI ecosystem future-ready. From retraining to compliance updates, drift detection to tech upgrades, our artificial intelligence consulting services ensure resilience and long-term performance.
Statista High Growth Companies
APAC
2025 & 2024
Our machine learning development services bring automation that learns on its own. Algorithms adapt over time, predicting failures, improving customer journeys, and removing manual guesswork. From predictive maintenance to hyper-personalized targeting, enterprises see measurable gains without increasing effort.
Our generative AI services allow businesses to push boundaries. Text, design and images, all can be created faster and sharper, giving teams more time to focus on strategy. We help accelerate product innovation and engagement by building secure, scalable foundations around these creative outputs.
With agentic AI, businesses move beyond automation into autonomy. These systems set goals, reason, and adapt, whether managing supply chains or acting as enterprise assistants. It’s a step toward strategy execution, not just task execution.
With natural language processing, we help enterprises transform unstructured text into insights. It could be automating customer conversations, extracting patterns from thousands of documents, or running sentiment analysis at scale. The result is more intelligent decision-making and stronger engagement.
As a global provider of AI consultancy and services, we deploy computer vision to interpret and act on visual data. Factories use it for quality checks, retailers for product discovery, and enterprises for secure authentication, each case improving accuracy while reducing overhead.
Our artificial intelligence consultants build deep learning systems that handle the toughest tasks like speech recognition, imaging, and predictive modeling. These custom solutions create a layer of intelligence inside enterprise workflows, raising efficiency while reducing error rates.
Robotic process automation takes away the burden of repetitive tasks. Data entry, invoices, HR records, all can be automated. As an artificial intelligence consulting firm, we can help you integrate RPA with enterprise systems, allowing your teams to spend less time on routine work and more on strategy.
Trust matters and so does compliance. Our artificial intelligence consulting services embed transparency, governance, and fairness into every project. From bias detection to explainability, our ethical AI frameworks keep enterprises aligned with regulations and stakeholder expectations.
We deliver enterprise AI consulting services that fit complex organizations. Intelligent automation for supply chains, smarter CRM optimization, cross-department workflows, every model is built for resilience, scale, and long-term enterprise value.
Explainability is no longer optional. Through explainable AI, enterprises get models that are traceable and auditable. This means the decisions can be explained, justified, and aligned with compliance standards, leading to user trust and regulatory confidence in equal measure.
Digital systems need empathy. Our sentimental AI solutions detect tone, mood, and intent, helping businesses adapt responses in real time. From customer service to feedback loops, this brings a layer of emotional intelligence into enterprise products.
AI analytics turns raw enterprise data into strategic intelligence. From demand forecasting to risk assessment and performance tracking, insights are delivered in real time. As your artificial intelligence consulting partner, we ensure analytics pipelines are designed for accuracy, scale, and compliance, helping leadership make faster and more confident decisions.
Turn these technologies into a competitive edge!
Get a tailored estimate based on your business goals, data readiness, and project scope.
We start with in-depth workshops where our artificial intelligence consultants work closely with stakeholders to capture goals, challenges, and expectations. At this stage, we define the problems AI should solve, map current workflows, and establish clear success metrics that will guide the engagement.
Our AI strategy consulting services include a thorough assessment of your existing systems, data maturity, and team capabilities. We evaluate infrastructure, governance processes, and workforce readiness to ensure the foundation is strong enough for enterprise-scale AI adoption.
Once the current state is clear, we advise on the most suitable technologies, whether machine learning, NLP, RPA, or computer vision. We focus on recommending solutions that directly address business needs while ensuring compliance, scalability, and long-term value.
With our enterprise AI consulting services, we build a roadmap that connects immediate priorities with long-term transformation. This includes timelines, risk mitigation strategies, integration pathways, and KPIs, ensuring leadership has a measurable plan for AI adoption.
As an artificial intelligence consulting company, we integrate governance into every step. From bias detection and explainability audits to access control and encryption, we design frameworks that keep AI implementations aligned with regulations like GDPR, HIPAA, and SOC 2.
Through our AI implementation services, we ensure smooth integration of AI solutions into ERP, CRM, and legacy workflows. We oversee data migration, establish secure pipelines, and make sure adoption causes minimal disruption to enterprise operations.
Our AI consultancy services emphasize rigorous testing, including performance validation, stress checks, and compliance audits. We ensure every model meets functional and ethical benchmarks so enterprises can trust outcomes and achieve regulatory alignment.
When solutions are production-ready, we handle deployment with enterprise stability in mind. We provide training, documentation, and change management support so internal teams can adopt AI seamlessly and generate business impact from day one.
Our artificial intelligence consulting services continue beyond deployment. We monitor live systems, retrain models to counter drift, and deliver upgrades that keep AI accurate, ethical, and future-ready, ensuring enterprises maximize long-term value.
The cost of AI consulting services isn’t one-size-fits-all, it depends on the complexity of your project, the tech stack, and the duration of engagement. Small advisory or short-term sprints can start at $40,000–$60,000, while enterprise-wide implementations can cross $400,000.
As an AI consulting company, we help businesses get clarity upfront with budget estimates that reflect both requirements and long-term value.
Timelines vary accordingly. For example, a small product with basic models might take 3–4 months, while complex deployments with integration and testing may extend to 12 months or more.
Working with an experienced AI consulting firm helps you set realistic milestones and avoid costly delays.
Compliance is built into our approach, not added at the end. As one of the best AI consulting firms, we align with U.S. privacy and fairness requirements, while also following the EU AI Act’s risk-based framework.
This dual focus allows our artificial intelligence consulting services to stay both innovative and regulation-ready.
Selecting the right AI consulting company is critical. A few essentials to evaluate:
Every business is different, which is why our AI consultancy and services are built around co-creation. We start with discovery sessions, then apply the right mix of machine learning, NLP, and predictive analytics to design strategies that actually fit your industry and goals.
Data alone doesn’t create value, insights do. Here’s how AI transformation consulting for businesses enables smarter decision-making:
We keep it flexible. Hourly pricing suits advisory roles, quick audits, or augmenting existing teams. Project-based pricing is better for fixed-scope solutions with defined deliverables.
Our AI consulting services engagement models are structured to match your budget as well as your business goals.
Most AI consulting firms follow a structured process, starting with discovery, design, development and ending with deployment. At Appinventiv, we add an extra layer: measurable outcomes.
This mix of AI software consulting services and enterprise execution ensures real transformation, not just pilots.
Data security is non-negotiable. Our artificial intelligence consulting services embed privacy and compliance from the start including:
This ensures your AI systems remain responsible, ethical, and regulator-ready.
AI consulting isn’t limited to one sector but some industries gain faster ROI such as.
As an offshore AI consulting company, we support enterprises across geographies and sectors , embedding intelligence where it delivers maximum value.
Hiring an artificial intelligence consulting company brings faster adoption, lower costs, and fewer risks. You get access to specialized expertise, from machine learning to NLP, along with compliance-ready systems that scale. The result is quicker results, smarter decisions, and long-term value.
Building in-house means full ownership but also steep learning curves, skill gaps, and delayed ROI. Partnering with an experienced AI consulting company accelerates value creation.
Here’s how we approach it:
Our goal isn’t to replace your teams, but to enable them. We help enterprises become self-sufficient faster, while avoiding costly trial-and-error.
