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Our expertise in the domain of AI chatbot development spans multiple industries and use cases. Take a look at all of the services that we offer to see which fits your requirements the best.
Need a unique chatbot built to work with proprietary data and produce the best results? Utilize our custom chatbot model development services, ideal for developing intelligent knowledge bases and support bots.
Space-O developers can readily integrate any AI model, such as Mistral, Cohere, or PaLM 2, helping you amplify existing systems with AI. Our team also handles all integration processes, such as data migration and API configurations.
Want all of the capabilities of GPT-4 in your business? Space-O’s team can build AI chatbots powered by all LLMs from OpenAI including GPT-4 and Dall.E 3. The chatbots built are also fine-tuned and customized to function as per your use case.
Create AI chatbots that work with multiple input models, such as voice, image and text, with our multimodal conversational AI development. These chatbots use NLP, generative and regression models which are used for creating AI assistants such as CoPilot.
The experts at Space-O offer progressive fine-tuning for AI solutions to keep performance in accordance with modern standards. This is done through careful data processing and model weight adjustments which result in the desired output quality.
Space-O’s dedicated processes for AI chatbot consulting encompass everything from value identification to Proof of Concept (PoC) engineering. Multiple LLMs are also tested to validate which AI chatbot solution would be best for your application.
To showcase the types of solutions you can expect to build with Space-O, we have mentioned some of our past projects where our team innovated on business practices using AI chatbots. All of the mentioned solutions have facilitated greater automation and ROI after deployment.
The chatbots built by Space-O can be outfitted with multilingual capabilities for most global languages and dialects. This, coupled with advanced natural language processing (NLP) algorithms, makes these AI chatbots capable of understanding the context and nuance of human inputs to deliver precise translations.
In the modern world, chatbots are the first line of contact for any new customer interactions. Our chatbots go a step further and resolve customer inquiries independently with the correct data. Using such intelligent virtual assistants, businesses can start enhancing customer engagement while lowering the human effort required.
Using AI chatbot solutions for knowledge bases is a very recent innovation that allows users to gain information by conversing with a chatbot. These intelligent chatbots work by integrating with existing databases and understanding details to deliver coherent responses to queries. The primary use cases for such chatbots are for employee onboarding and product documentation.
Building a custom AI chatbot solution over going for a pre-trained option holds several advantages on an operational level for your business. Check out all of the benefits that await across multiple departments when you opt for developing custom chatbots.
AI-driven chatbots help support personnel avoid lengthy customer query calls and allow customers to have more autonomy on their preferred service style. This reduces support costs and makes inquiry resolutions faster.
Custom chatbots built for multilingual operations help businesses bridge the gap, in terms of language barriers, to expand their operations to more regions. Such chatbots also enable users to use the language that they are most comfortable with.
AI chatbots are much better suited to enhance customer interactions as they don’t limit users to choose from fixed options, like in decision-tree chatbots. As these chatbots can work for many applications at once, users can use the same chatbot for support, recommendations and more.
Based on user inputs, AI chatbots offer in-depth user sentiment insights to help you understand their overall experience with your products. The collected data can then be used to make informed decisions for improving customer satisfaction.
When trained with proprietary knowledge bases, an AI chatbot functions as a great tool for employees to understand corporate procedures and details. A chatbot built for this use case reduces onboarding complexity and time.
Modern AI-based chatbots can detect the user’s access levels based on preset configurations. Once identification is confirmed, the chatbot design only outputs responses according to their access level to protect confidential data.
When operational, AI chatbot services have zero downtime, which lets businesses keep support functionalities online 24×7. Catering to customers in different time zones is especially easier as there are no availability issues being faced.
AI chatbots help customers navigate through multiple products and services by understanding their requirements through input prompts. This simplifies the customer sales journey and aids in improving conversion rates.
Working exclusively with Space-O to develop an AI chatbot holds more benefits than just end-to-end development. Such benefits range from lower project costs to higher overall convenience. The top advantages according to our clients are as follows:
At Space-O, all of your project details are kept under strict confidentiality through pre-signed NDAs signed by all individuals involved. We also ensure data integrity through access management solutions and keep a vigilant eye on all chatbot development activities.
A primary concern for businesses looking for AI chatbot solutions is the cost of maintaining the infrastructure and allocating dedicated funds for it. Space-O leverages serverless computing resources like AWS and GCP for this reason, which enables you to only pay for what you use.
The team at Space-O holds over 14 years of experience developing custom AI chatbots on closed, open-source and custom LLMs. Our 80+ pre-vetted AI developers also have experience using multiple AI/ML libraries, including Keras, Caffe, and TensorFlow, so you get only the best, most experienced developers working on your project.
At Space-O Technologies, we believe in making the experience of developing a capable AI chatbot as swift and painless as possible. This is why we ensure autonomy while conducting weekly follow-ups on the status and details of projects.
Space-O’s AI chatbot development solutions are geared for peak convenience, which is why we have an engagement model to fit every business need. Whether you are hiring for a startup or an enterprise, these engagement models are guaranteed to prioritize your working preferences.
With this cost model, you can get a fixed contract value for your AI chatbot development project. Our AI engineers offer end-to-end support throughout your project’s lifecycle to ensure successful development.
Only pay for the human and computing resources you use for your AI chatbot project using the time and material model. Developing AI chatbot solutions with this model helps you get a rough estimate to raise optimal funds.
If you require the expertise and counsel of Space-O’s chatbot developers, you can hire them separately as well. This helps you optimize costs by hiring distinct specialists from a reputed chatbot development company.
Space-O can augment your existing team and fill skill gaps for developing AI chatbots. We have a team of onboarding-ready developers with on-site and off-site working flexibility. This allows easy staff augmentation in any department such as frontend or AI engineering.
Building cutting-edge intelligent chatbots calls for the use of the latest LLMs and AI development frameworks. Being a reputed AI chatbot development company, we maintain the utmost transparency when it comes to our processes, including our tech stack.
Backend
AI/ML Libraries
Monitoring and Analytics
Healthcare
Education
eCommerce
Logistics and Travel
Manufacturing
Banking
Entertainment
Agriculture
The full-scale implementation of an AI chatbot, from engineering to deployment, takes 2-6 months. This rough timeline is usually divided into phases of short development sprints where individual components are engineered and tested. Additional requirements, such as chatbot integration into legacy platforms, can delay this timeline.
The average cost of building an AI-based chatbot solution ranges between $15,000 and $130,000 for most pre-trained language models with a team of 5 developers. This range is given to account for the differences in the language model used and the customization requirements of each project. The project’s cost is bound to increase if fully custom AI models and datasets are used.
Yes, there are plenty of open-source language models, like Llama 3, available for research and commercial use that are totally free of cost. The experienced developers at Space-O can use these capable language models to build advanced, highly customizable chatbot solutions. Alternatively, some language models that work through APIs, such as Claude 3, can also be used for lower costs than fully custom language models.
With the help of a trusted AI chatbot development company like Space-O, businesses can avail highly effective consulting services to test and figure out the best AI solutions. These consulting cycles are built to give you detailed insights by testing real AI solutions within your business. Tools such as Google Firebase are also used to test how different solutions perform directly with your user base.
In a custom development project, a variety of chatbot development tools are used to identify which modifications work best with your targeted use case. Using a pre-made chatbot, on the other hand, is quite limiting in terms of configurations for improving customer satisfaction. This is why building custom AI chatbots is seen as the best option to ensure smooth integration, functioning, and performance.
GPT-4
PaLM-2
Claude 3
Mistral
Llama 3
Angular
React.js
Vue.js
Django
Flask
Express.js
Tensorflow
Pytorch
Keras
LangChain
Prometheus
Grafana
ELK Stack
MongoDB
Cassandra
Redis