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Apache Spark
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Keras
Apache Kafka
Airflow
ML Flow
Hugging Face
GPT-4
BERT
Llama-2
Claude
Google Gemine
XGBoost
LightGBM
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Convolutional Neural Networks (CNNs)
SpaCy
NLTK (Natural Language Toolkit)
OpenAI API
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Postgre SQL
IBM Watson
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MLflow
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Google Vertex AI
IBM Watson
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Discover how we developed an AI-powered barbell tracking app that revolutionizes velocity-based training with zero additional hardware requirements.
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Our Valuable Clients
Our AI software development services cover everything from model training and testing to system deployment and lifecycle management.
We help you build enterprise-grade AI applications tailored to your business logic. Whether you want to automate decisions, manage workflows, or personalize experiences, we develop custom software using proven tools like Python, TensorFlow, OpenCV, and cloud AI services from AWS and Azure.
Being an ML development company, we develop machine learning, deep learning, and NLP models that power real-time predictions, automation, and intelligent decision-making. Our team uses frameworks like PyTorch, Scikit-learn, spaCy, and Keras to build and support predictions, language understanding, and automation.
Turn raw enterprise data into meaningful reports and dashboards. Using tools like Power BI, Snowflake, and Databricks, we help you build real-time analytics platforms that reveal business trends, performance gaps, and operational insights, enabling your teams to take action more quickly.
We implement intelligent automation systems that reduce manual labor and streamline internal processes. From RPA workflows with UiPath to AI-powered decision-making bots, our solutions are designed to automate tasks such as data entry, validation, notifications, and routing without disrupting your existing systems.
Being a generative AI development company, we can bring generative AI capabilities into your enterprise systems with models like GPT, Gemini, Claude, or Llama. Whether you want to auto-generate content, summarize documents, or answer internal queries, we help you fine-tune and integrate LLMs securely using the right APIs and private datasets.
Get AI advice tailored to your enterprise goals. We help you identify the right use cases, assess data quality, and build a scalable AI roadmap. Our consultants ensure that each AI project aligns with your workflows and is built with responsible data practices and long-term business objectives.
We build computer vision solutions that analyze images, video, and scanned documents. From real-time object tracking to facial recognition or document OCR, we use OpenCV, YOLO, and AWS Rekognition to help you process visual data faster and with higher accuracy.
Plan ahead with smart forecasting systems that predict trends, risks, or events based on your data. Using time-series models, regression techniques, and ML-based scoring systems, we help you build AI tools that support demand forecasting, predictive maintenance, and strategic planning.
We develop NLP systems that help your applications understand and respond to text or speech. Whether it’s for internal chatbots, email routing, or search engines, we use NLP tools like NLTK, spaCy, and OpenAI APIs to build language-aware software that delivers better user experiences.
At Space-O, we excel in various AI subfields, offering advanced solutions tailored to meet diverse business needs.
We build enterprise-grade automation systems that handle repetitive tasks using AI. These systems combine RPA tools like UiPath with decision-making capabilities powered by machine learning, helping your teams save time, reduce errors, and focus on high-value work.
Our predictive analytics solutions help you anticipate business trends and risks based on your historical and real-time data. Using statistical models, regression analysis, and machine learning advanced algorithms, we deliver tools that support proactive decisions across finance, supply chain, and operations.
Extract key information from unstructured documents with our cognitive processing tools. We use OCR, natural language processing, and AI classification techniques to scan contracts, invoices, forms, and other records, turning them into structured data that’s ready for review, storage, or automation.
Improve customer and employee experiences with AI-powered chatbots and voice assistants. These enterprise AI solutions are trained using NLP and LLMs, such as GPT, enabling them to understand queries, answer FAQs, and resolve requests around the clock with accurate, context-aware responses.
We develop custom recommendation systems that help users discover relevant products, content, or actions. By analyzing user behavior and preferences, These enterprise AI capabilities drive engagement and conversions across eCommerce, media, and EdTech platforms.
Protect your business from fraud and operational risks with real-time AI detection systems. Using anomaly detection, pattern recognition, and behavior scoring, our AI models identify unusual activities across financial transactions, user accounts, and backend workflows.
We specialize in developing business AI solutions that solve real enterprise problems—resulting in scalable, secure, and high-impact AI business solutions.
We bring 15+ years of experience in building AI systems tailored for enterprise business operations, workflows, and data-heavy environments.
From AI strategy and model development to deployment and long-term support, we manage your entire custom AI development journey.
As a custom enterprise AI development company, we design and fine-tune models tailored to your data and enterprise workflows.
We follow industry-standard data protection, security, and compliance practices while building and deploying enterprise AI systems.
Having served clients in healthcare, finance, retail, logistics, and more, we understand how to adapt AI to different business needs.
We help you get started quickly with discovery, data assessment, and PoC delivery to accelerate your AI implementation.
You stay informed at every stage with regular updates, clear documentation, and collaborative checkpoints throughout the project.
Our post-deployment support includes model monitoring, drift detection, retraining, and updates to keep your AI system accurate over time.
Space-O provides flexible engagement models tailored to provide end-to-end support to implement AI mobile app development.
Set up your own AI team with Space-O’s pre-vetted engineers, data scientists, and ML experts. Ideal for enterprises needing long-term support and full control over their AI development.
Work with us on a fixed-scope project where we handle everything, from planning to deployment. Best suited for businesses with defined AI requirements and timelines.
Fill the skill gaps in your existing team by hiring our AI developers to your in-house setup. Whether you need support for training models or integrating AI tools, we plug right in.
Get strategic guidance for your enterprise AI roadmap. From idea validation to choosing the right technology stack, our consultants help you move forward with clarity and speed.
At Space-O, we follow a curated process that enables mobile app development from our team of AI and machine learning experts.
Programming languages
Frameworks
Models
Data Tools
Toolkits/Platforms
Cloud Platforms
MLOps & DevOps Tools
We build AI solutions that assist in diagnostics, automate patient data processing, and support clinical decision-making to improve care outcomes and reduce manual workloads.
Our AI systems help detect fraud, automate risk assessments, and provide predictive insights to support smarter lending, compliance, and financial planning.
From personalized recommendations to inventory forecasting, we help retailers leverage AI to enhance customer engagement, streamline operations, and boost conversions.
We apply AI to optimize production lines, predict equipment failures, and reduce downtime, improving product quality and operational efficiency.
Our AI models enable accurate demand forecasting, real-time route optimization, and predictive shipment tracking to keep your operations running smoothly.
We automate claims processing, assess risk using AI scoring models, and extract key data from policy documents to speed up decision-making and reduce fraud.
From property valuation to lead qualification, we use AI to help real estate businesses analyze markets, engage clients faster, and close deals more efficiently.
We integrate generative AI into gaming apps that offer unique environments and characters based on gamer input, as well as use automated anti-cheat measures to ensure fair play.
We support public sector modernization with AI tools for document digitization, citizen support automation, and data-driven resource planning.
The starting cost to develop a basic enterprise AI solution is around USD 25,000. However, the exact cost depends on factors like the complexity of your business processes, data infrastructure, deployment needs, and the type of AI models used. If you’re planning to build an AI-driven enterprise system, reach out to us. We’ll give you a tailored estimate based on your goals.
Yes, you will have complete ownership of the final solution, including the source code, custom AI models, and all documentation. Once your enterprise AI system is deployed, our team transfers everything to your preferred server and hands over full access rights.
Absolutely. We follow strict data security and responsible AI practices throughout the project lifecycle. Before we begin, we sign a mutual NDA with your team. During development, we implement access controls, data encryption, and privacy-preserving AI methods to make sure your enterprise data stays confidential and protected.
We work with industry-trusted AI technologies such as Python, TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers, and spaCy for model development. For cloud and enterprise integration, we use AWS SageMaker, Azure AI, Google Cloud AI, and Kubernetes for scalable deployment. Based on your use case, we’ll select the right stack that aligns with your existing systems.
Our approach begins with a detailed understanding of your enterprise operations. We design the AI system to match your workflow, user roles, and internal processes. Regular feedback is collected during each sprint, and our AI consultants work closely with your team to align every feature with your enterprise goals.
Yes, we offer complete deployment support. Whether you’re using legacy systems, ERP software, or cloud-based tools, We handle AI integration seamlessly—ensuring your team adopts new systems without workflow disruption. We also provide training for your internal teams to help them adopt the new AI system with ease.
Yes, we do. If your current AI system isn’t delivering expected results or needs new functionality, we can help. Our team will audit your system, retrain or fine-tune models, and upgrade the tech stack as needed to make your AI setup scalable and more efficient.
We follow a rigorous quality assurance process that includes functional testing, model accuracy validation, system performance testing, and security audits. Tools like MLflow, Selenium, Apache JMeter, and custom UAT sessions ensure that the final AI system is stable, accurate, and ready for enterprise use.
Every project comes with a dedicated project manager and a transparent tracking system. We use tools like JIRA, Trello, and Basecamp to share regular updates, sprint reviews, and documentation. You can track timelines, milestones, and deliverables anytime during the development process.
Yes. We adjust our team’s availability based on your time zone and working hours. This allows seamless communication and real-time collaboration for feedback, meetings, or clarifications.
It’s simple. Just fill out our contact form with a few basic details. Our team will review your request, schedule a discovery call, and share a custom roadmap within 24–48 hours. From there, we’ll move step-by-step to build a tailored enterprise AI solution that fits your business.
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