Conversational AI & NLP
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Software that understands people
Conversational AI & NLP Development
People express the same request in a hundred ways, in many languages, by text and by voice. Software that only matches keywords misses most of them.
We build conversational AI and natural language systems that find intent, pull out the details that matter, sense sentiment and carry a conversation, in text or speech.
Everything is benchmarked on your own messages and documents, language by language, so you know how well it really works.
- 11+Years of building business software
- 50+Global long-term clients
- 2,000+Projects delivered
- 24 hrsResponse time on queries
How it works
From speech to a helpful reply
Five stages, each tested on its own.
Hear
Speech is turned into text, with noise and accent handling for your setting.
Speech to text
Understand
The system finds the intent, the key details and the sentiment.
NLU
Decide
The dialogue manager tracks context and chooses the next step.
Dialogue
Respond
A reply is written in your tone, grounded in approved content.
Language model
Speak
The reply is shown as text or spoken aloud in a natural voice.
Text to speech
Services
Our Conversational AI Services
Six capabilities we build most often.
Intent Recognition & Entity Extraction
Work out what people want and pull out the details that matter, such as dates, places, products and amounts.
WITH AITested on your own messages, in your own words.
Sentiment Analysis & Opinion Mining
Read reviews, tickets and social posts at scale to see how people feel and why.
WITH AIThemes and trends summarised in plain language.
Voice Assistants & Speech Processing
Speech to text, spoken replies and voice assistants for phone lines, apps and devices.
WITH AIAccuracy tuned for your accents, noise and vocabulary.
Multilingual NLP
Understand and answer in many languages from one system, with local terms handled properly.
WITH AIPer-language quality measured, not assumed.
Text Classification & Document Processing
Sort, tag and extract data from emails, forms and documents, and route them to the right place.
WITH AIUncertain items sent to a reviewer.
Dialogue Management Systems
Manage multi-turn conversations: remember context, ask for missing details and handle changes of mind.
WITH AIConversation paths tested on realistic scripts.
Why modern NLP is different
Meaning, not just keywords
Language models changed what is practical. Measurement keeps it honest.
Better than keywords
Models understand meaning, so “my parcel hasn’t come” and “where is my order” mean the same.
Many languages, one system
Support several languages without building a separate bot for each.
Measured on your data
Accuracy is tested on your real messages before we call anything finished.
Private by design
Personal data is masked, and sensitive conversations can stay in your own environment.
How we work
From real language to a monitored system
Five steps that keep accuracy a number.
Collect real language
Gather real messages, calls and documents, with permission, to see how people really phrase things.
DataDefine intents and details
Agree which requests matter and which details must be extracted, with examples for each.
DesignBuild and benchmark
Train or configure the models and score them on a held-out test set.
ModelHandle the edges
Design for unclear input, mixed languages, background noise and angry customers.
Edge casesDeploy and retrain
Monitor in production and use corrections to improve over time.
Improve
Quality you can check
What we verify before launch
The details that decide whether language systems are trusted.
- A held-out test setAccuracy is measured on messages the model has never seen.
- Per-language scoresEach language is tested on its own, not assumed to match English.
- Fallback behaviourWhen the system is not sure it asks, or hands over to a person.
- Bias and fairness checksWe test whether accuracy differs across accents, dialects or groups.
- Privacy controlsPersonal data is masked in logs and training data.
- Drift monitoringWe watch for new phrases and topics, and retrain when needed.
Looking for a customer-facing assistant?
Our chatbot service puts these capabilities to work on your website, WhatsApp and apps.
FAQs
Conversational AI questions, answered
Conversational AI is technology that lets people interact with software in natural language, by text or voice. It combines language understanding, dialogue management and response generation to hold useful conversations.
Natural language processing, or NLP, is the field of AI that deals with understanding and generating human language. It covers tasks such as finding intent, extracting names and dates, classifying documents, measuring sentiment and translating.
A chatbot is one product built with conversational AI. Conversational AI is the wider set of capabilities, including voice assistants, sentiment analysis and document understanding, that can power chatbots and many other systems.
Yes. We combine speech recognition, language understanding and natural-sounding speech, and tune them for your accents, noise levels and vocabulary. We test on recordings from your real setting.
Yes. We build multilingual systems and measure quality for each language separately, because performance often differs between languages.
It depends on the task and data. We measure accuracy on your own held-out messages and report it openly, then improve it with real corrections after launch.
Yes. We classify, tag and extract data from emails, forms and contracts and route them to the right place, with uncertain items sent to a reviewer.
We mask personal data in logs and training sets, apply access controls and choose deployment options, including your own environment, that fit your privacy needs.
Not always. Modern language models work well with few examples. More data helps you reach higher accuracy and handle specialist vocabulary, and we advise how much is worth collecting.
A focused NLP feature, such as intent detection or document classification, often takes four to eight weeks to reach a monitored pilot. Voice and multilingual systems take longer.
Ready for software that understands your customers?
Share some real messages, calls or documents. We will test what language AI can do with them and report how accurate it is.
