AI
Turning the data you’re already capturing into predictions
We layer anomaly detection, predictive maintenance, and computer vision on top of the telemetry your devices already generate: the intelligence that turns a dashboard of charts into a system that tells you what’s about to happen.
- Speech
- Nepali speech-to-text at 95% transcription accuracy, built on Wav2Vec 2.0
- Vision
- Live exam proctoring with facial landmark, object and voice-activity detection
- Voice
- A voice agent that answers inbound calls in under three seconds
The opportunity isn’t collecting more data
Overview
Most of our clients are already capturing device data by the time they come to us for AI, from embedded systems, battery telemetry, or environmental sensors. The opportunity isn’t collecting more data; it’s making the data you have predictive. We build models trained specifically on your device data, not generic off-the-shelf solutions.
Not hypotheticals
Relevant work
Nepali speech-to-text
VOX converts spoken Nepali into written text for professionals, students and government offices, at 95% transcription accuracy and a 15% character error rate. It’s built on Wav2Vec 2.0, with Pyannote speaker diarization and noise reduction.
Speech recognitionVOX (Bajra product)
Live exam proctoring
Mediapipe facial landmark detection monitors candidate focus, COCO-SSD detects electronic devices or unauthorized materials in real time, and voice activity detection flags unauthorized speech during an exam. Vertex AI generates the test cases used to score coding answers.
Computer visionProject Code (Bajra product)
AI voice agent for customer support
Answers inbound calls in under three seconds with streaming speech recognition, generates replies from a customer’s own knowledge base with the source cited, and hands the conversation to a human agent with the full transcript when it reaches its limits.
Voice AIBajra AI (Bajra product)
The difference shows in the first month
Why teams build AI with us
We build on what you already run
Your telemetry, your dashboards, your cloud. We build on them rather than asking you to replace them.
The whole stack, in-house
When the product needs firmware changes or better connectivity before a model can use its data, the same team covers it. See Embedded Systems.
AI is part of how we work
Our engineers use AI tools across design, development and testing, within your security and data policies and to the same review and testing standards as everything else we ship. It shortens the path from backlog to release. When your system is ready for it, the same team can build AI into the product itself.
No single point of failure on our side
You’re backed by a full engineering company, not a handful of contractors. Knowledge is shared and documented across the team, so one departure doesn’t stall your roadmap.
From first call to first release
How an engagement starts
Talk to an engineer.
A call with someone who has shipped speech, vision and voice models, not a sales pitch.
We audit your existing data.
What you already capture, and where it could become predictive.
First working release in 4 weeks.
A real slice of the product, such as a first model integrated into your dashboards, so you can judge us on shipped work.
We monitor and retrain.
Ongoing model tuning once it’s live. See engagement models.