Every charting feature ran through a vendor—limiting what Dhan could build for power traders. Kiro's specs let one developer own it instead.
One of India's top 10 stockbrokers, with over 1 million active traders in a market where most platforms compete on price rather than product depth.
Charting was the only outsourced component in an otherwise in-house trading stack, limiting what the team could customize around Indian order types,...
“For a platform with so many indicators and tools, Kiro was the natural choice because it helped us build from clear specifications.”
Online stock trading and investment platform for Indian investors.
Cloud computing platform and on-demand infrastructure services.
Dhan's Feature development is part of this use case:
Related implementations across industries and use cases
Fragmented systems slowed deployments to four weeks. Now, AI orchestrates the agents, launching new trading strategies in just one week.
Trade data was buried in messy chat logs. GenAI now mines the text for pricing, turning raw noise into new revenue streams.
Novices were too embarrassed to ask basics publicly. Private AI agents now answer instantly, cutting response times from 10s to near-zero.
Manual coding and testing delayed reward campaigns. Now, AI automates repetitive tasks so 240 engineers focus on core architecture.
Building prototypes took months. Engineers now use structured markdown to guide an AI IDE in generating standardized code and test cases.
Analysts couldn't touch the data—every question funneled through engineers, taking hours or weeks. Now they get answers in seconds.
Finance spent six hours stitching four data sources into fully burdened cost models. Now, they use AI to generate them in minutes.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.
Querying Wikidata required specialized syntax, locking out most AI systems. Vector search now lets LLMs navigate 100M+ entities in plain language.
Every charting feature ran through a vendor—limiting what Dhan could build for power traders. Kiro's specs let one developer own it instead.
One of India's top 10 stockbrokers, with over 1 million active traders in a market where most platforms compete on price rather than product depth.
Charting was the only outsourced component in an otherwise in-house trading stack, limiting what the team could customize around Indian order types,...
“For a platform with so many indicators and tools, Kiro was the natural choice because it helped us build from clear specifications.”
Online stock trading and investment platform for Indian investors.
Cloud computing platform and on-demand infrastructure services.
Dhan's Feature development is part of this use case:
Related implementations across industries and use cases
Fragmented systems slowed deployments to four weeks. Now, AI orchestrates the agents, launching new trading strategies in just one week.
Trade data was buried in messy chat logs. GenAI now mines the text for pricing, turning raw noise into new revenue streams.
Novices were too embarrassed to ask basics publicly. Private AI agents now answer instantly, cutting response times from 10s to near-zero.
Manual coding and testing delayed reward campaigns. Now, AI automates repetitive tasks so 240 engineers focus on core architecture.
Building prototypes took months. Engineers now use structured markdown to guide an AI IDE in generating standardized code and test cases.
Analysts couldn't touch the data—every question funneled through engineers, taking hours or weeks. Now they get answers in seconds.
Finance spent six hours stitching four data sources into fully burdened cost models. Now, they use AI to generate them in minutes.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.
Querying Wikidata required specialized syntax, locking out most AI systems. Vector search now lets LLMs navigate 100M+ entities in plain language.