"We tried AI code generation. The accuracy wasn't good enough for production."
We hear this constantly from engineering leaders.
Here's why it happens — and what 99%+ accuracy actually requires:
The output is:
✓ Deterministic
✓ Auditable
✓ Explainable
✓ Compliant
✓ 99%+ accurate in code generation
This isn't a better prompt. It's a different architecture.
Not all AI agents are created equal.
Some scale innovation. Others scale risk.
Swipe to see what most enterprises miss ...
Read here: https://t.co/2V7lFKpshl
The per-seat SaaS model is starting to feel like a hostage pricing mechanism.
That's how Ashwin Bharath framed it at the Indiaspora Global AI Summit — and he's right.
Watch here: https://t.co/qYCwqBPSwl
#SaaS#EnterpriseSoftware#AIStrategy#TechServices
Serious ownership. Work that ships. Swipe to see what we're building — and where you might fit. hashtag#Hiring hashtag#AIJobs hashtag#RemoteFirst hashtag#ConsumerInsights
Traditional market research is broken. We're fixing it with AI.
We analyse billions of social, search, and review signals to give brands the insights they used to wait months for.
We're growing — and hiring across 4 roles: → Lead UX/UI Designer : https://t.co/jGxLkGCYlI → AI Engineer (MLOps & Production AI): https://t.co/wunjNHzrik → Senior Test Engineer: https://t.co/5G9Q3SXs1A → AI Programme Manager: https://t.co/yeZh9Xad5A Fully remote.
We don't lead with technology.
We lead with outcomes.
Here's what GalentAI delivers in production — measured, not claimed:
1. 85–90% reduction in PoC-to-production failure rate
2. 4x faster delivery velocity — without quality degradation
That’s why so many AI initiatives stall after the PoC stage. The GalentAI Platform was built to take a fundamentally different approach. Our latest white paper breaks down the architecture behind the platform. Download the white paper to explore it: https://t.co/wj7OfYHtPr
Here’s the uncomfortable truth.
Most enterprise AI platforms today are simply prompt layers sitting on top of LLMs.
They lack real system understanding. They produce probabilistic results. And they rarely operate within the governance frameworks enterprises actually require.