What AI integration services does Fora Soft provide?

Fora Soft provides AI assistants, computer vision, emotion recognition, AI content generation, NLP, AI video analytics, ready AI service integration, and custom AI model development.

Which AI technologies and platforms does Fora Soft work with?

We work with OpenAI GPT, Whisper, AWS AI, Microsoft Azure AI, Google Cloud AI, TensorFlow, PyTorch, and various speech/text services, selecting optimal technologies per project.

What industries benefit from Fora Soft's AI services?

E-learning, video conferencing, security and surveillance, entertainment and music, healthcare, and custom applications across sectors.

How experienced is Fora Soft in AI development?

19+ years of multimedia experience and AI integration expertise since 2020, focusing on surveillance, e-learning, telemedicine, and advanced multimedia applications.

Can Fora Soft integrate existing AI services or develop custom AI solutions?

Yes, we integrate services like ChatGPT, Whisper, Azure AI, and develop custom AI models with tailored architecture and planning.

What is included in Fora Soft's free AI consultation?

Project goals discussion, technology recommendations, architecture planning, requirements assessment, and cost estimation.

AI Integration & AI Software Development

Proof we’ve done this

AI integration shipped to real users on real money

A custom-trained neural network for real estate, an AI course generator now owned by 1EdTech, and AI speech-to-speech translation behind the UK NHS framework.

Layers (LAYRS)

AI HDR image generator · real estate

50%

better color · 60% less noise · 30% faster

Python Stable Diffusion Custom NN

Three bracketed photos in, one HDR image out. Custom-trained neural network for color correction and tone mapping — we train our own models, not wrap an API.

ALDA

AI course generator · e-Literate / 1EdTech

500K+

students reached via 70+ co-designing educators

OpenAI Assistant API GPT-4

AI course generator now owned by 1EdTech; adopted by Dallas College, SNHU, UCF, UMGC and 5 HBCUs via UNCF. Pioneered the “Chain of Inquiry” prompt-engineering technique.

TransLinguist

AI speech-to-speech interpretation

16+

AI translation languages · 22 caption languages

Speechmatics Deepgram Google STT Google TTS

Real-time AI interpretation that won the UK NHS National Framework for Language Services. Featured twice in Slator as a disruptive AI player in interpreting.

Features

Advanced AI Agents

We build custom AI agents powered by advanced LLMs like GPT-5, GPT-4, Claude, Llama, and Mistral. These AI assistants help teams manage information by generating notes and summaries, transcribing meetings, extracting action items, analyzing documents, and answering questions from internal data. By linking a large language model (LLM) to reports, knowledge bases, templates, or training materials, you get an AI assistant that delivers fast, accurate insights and reduces manual work. This kind of AI agent development is perfect for creating learning content, building curricula, organizing documentation, and handling repetitive knowledge tasks at scale.

Two side-by-side images showing object detection: left image highlights a red car on a rural road with label 'Car detected'; right image highlights a sign on a pole reading 'NO PARKING DO NOT BLOCK ENTRANCE' with label 'Parking not allowded'.

Object Recognition

We can develop AI-powered applications with object recognition functionality to detect various objects in videos, such as cars, road signs, traffic lights, and more. For instance, the system can identify areas where parking is not allowed. If a car remains in this zone beyond the designated time, the system will detect the car's license plate number, send a notification to the operator, and issue a fine to the driver automatically.

Anomaly Detection

The AI integration of anomaly detection features helps identify unusual activities or events that may indicate security threats. We can detect abandoned objects, unauthorized access, or perimeter intrusion in real-time video streams, enhancing security through predictive analytics.

Two labeled images showing security anomalies: a masked intruder inside a room and an abandoned backpack in a public space.

Three smartphone screens showing a skateboarding app with a young man performing tricks, including face detection squares on his face.

Facial Detection and Recognition

We can develop a feature for detecting faces that can precisely overlay interactive masks and filters on the user's face, similar to the functionalities seen on Instagram or Snapchat. Furthermore, it offers intelligent software solutions with AI-powered image and video processing tools, including beautification retouch presets.

Similarly, for security systems, we can integrate facial recognition to identify individuals by accessing a database of known faces. Both of these features can assist in crowd management. We can add AI algorithms that analyze crowd density and movement to ensure public safety in crowded areas or events, utilizing computer vision applications.

Emotion Recognition Dynamics

As part of facial recognition functionality, we implemented an AI algorithm that analyzes users’ emotions as they browse daily news digest. The system captures snapshots of their face, sending them to a machine learning development model. Based on the analysis, it categorizes emotions as happy, neutral, or upset for each article and monitors emotional trends throughout the week.

Additionally, our AI solutions analyze users' emotions through their voices. They can record how they feel after reading the article in an audio journal, and the system will analyze the voice recording to determine their emotions using voice recognition technology.

Two smartphone screens showing an emotion recognition app analyzing voice and facial expressions with percentages for happy, neutral, and upset emotions, plus happy recommendations.

Side-by-side images showing fire detected on a burning house with flames and smoke, and smoke detected rising from a street drain with a person walking nearby.

Fire/Smoke/Intruder Detection

We can also distinguish between various events in videos, such as car/human intrusion, smoke, fire, and abandoned-object alerts. Our AI algorithms detect these events, outline and label them on the recording, and notify admins within seconds — the same fire/intrusion/crowd-alert stack shipped on MindBox, which runs across 50+ deployments with Smart Forensic Search and 99.5%+ facial-recognition accuracy.

AI Voice Assistant

We create AI-powered applications that function on screens during interactions, leveraging the Face Detection feature powered by Microsoft Azure AI Face Service. The system detects users and converts their requests into text using Microsoft Azure Cognitive Services' Speech-to-Text technology. The response can be an answer to specific user inquiries or even an action. For instance, users can access premises using voice commands, where they state their name and password to the virtual assistant. If the credentials are valid, the doors will open automatically.

Two smartphones with purple abstract flower visuals on screens; left shows 'Tap to speak to me' prompt, right displays voice assistant response about a nearby restaurant named Kitchen with instructions to scan code for Google Maps directions.

Chat interface with a user request for a first semester college math course tailored to diverse students, and an AI-generated course title and description, with options to export as PDF or DOCX.

Learning Course and Curriculum Generation

We develop AI solutions for e-learning applications that simplify course creation and curriculum development for schools and universities. Professors input course goals, objectives, subject focus, and difficulty, and the system generates a class-by-class plan with tests and quizzes. Course drafts export in multiple formats, enhancing learning through data-driven instructional design — the same AI tooling we’ve integrated on LMS and music-education platforms worldwide.

Content Generation

There are many third-party tools for generating images, video, and voice. We integrate these into your software end-to-end — users can enhance visual appeal with AI-generated virtual backgrounds, describe their preferences, and get personalized meeting environments. Proven on real-time video products where we shipped branded AI voices and voice-to-text-to-voice pipelines (OpenAI-backed, SIP/FreeSWITCH hospital interpreters, Nucleus AI agents handling 600M+ call minutes per month).

User interface showing a person with curly hair and glasses in a video frame, device test results with headphones, microphone, and camera icons, and a background generation tool creating a purple and blue abstract wave design.

Digital music notation and tablature interface showing sheet music, piano keyboard, and video thumbnails of a person playing guitar.

Notes&Tabs Auto Notation

For the music learning systems we’ve implemented a feature that allows teachers to effortlessly share music sheets with students during live video lessons. By automatically transcribing their playing into notes or tabs, teachers can instantly provide students with visual representations of the music. We also can develop it as a smart scoring feature that allows for real-time assessment of student performance to enhance the learning experience.

Dynamic Playlist Generation

We also developed playlist generation functionality for the DJ pool. Users can request personalized playlists using voice commands to specify genres, BPM, artists, and more. Our AI technology integration interprets these requests, sifts through the database, and creates customized playlists, seamlessly blending algorithms with human preferences. The system responds only within a defined context, ensuring accuracy and relevance.

Digital playlist interface showing songs with locations, dates, and play buttons, alongside a speech bubble stating a playlist request for Italian pop music of the 90s at 140 bpm.

App interface showing personalized fitness and gymnastics offers with images, user names, activity tags, credits, and a message saying 'Jessica, these are personalized offers for you!'

Recommendation Systems

For analytical purposes, we add an AI component that analyzes user behavior. It segments users and serves personalized AI recommendations — per segment and even per individual user. Applied in streaming services (viewing history, genre preferences) and e-learning (course enrollments, lesson completions, quiz scores, time-on-topic). Our recommendation systems use deep learning to boost accuracy and relevance; same stack shipped on Franchise Record Pool and multiple streaming platforms.

Industries

We build custom AI solutions for clients across education, video conferencing, security, and streaming — 625+ completed projects since 2005, including MindBox (99.5%+ facial-recognition accuracy, 50+ deployments), VALT (770+ US organizations), TransLinguist (UK NHS NOE CPC framework, 75+ languages), and Rafiky (30,000+ events, ISO 27001). Industries we serve:

🏫 Education
Smarter search, automatic grading, AI-generated curricula and personalized learning paths — the same AI stack we shipped across music and e-learning platforms serving schools and universities.

🎥 Video conferencing
AI-powered transcription and virtual background generation for real-time chat applications.

🛡️ Security and Surveillance
Object recognition, anomalies and unusual behavior detection, face recognition, and crowd management using natural language processing (NLP).

🕹 Entertainment and Music
Playlist generation and personalized music recommendations — proven on the Franchise Record Pool DJ platform and streaming apps with deep-learning recommender systems.

🌟 Customized Apps
Beyond specific industries, we can address your requirements across various sectors. Whether it's AI in healthcare, AI in e-commerce, or real estate management, integrating AI enhances adaptability and efficiency.

AI Integration and AI-powered Software Development

AI integration shipped to real users on real money