Machine learning, LLMs, and generative AI are designed around each company's specific operations,with end-to-end support from proof of concept through production deployment.
A site-evaluation solution that unifies 3D urban data, geology, disaster risk, and surrounding demand, combined with RAG-based historical design knowledge, raises precision from planning through construction.
3D urban data, geology, disaster risk, and surrounding demand are unified to support evaluation and planning of new development sites. A simulation foundation that also serves stakeholder consensus-building.
Historical design documents, specifications, and incident records are unified as RAG. Design review, junior-engineer support, and estimate accuracy improve in tandem.
Three core capability categories applied across industries: AI agents, RAG, and evaluation/prediction. Workflows automate, knowledge activates, and decisions improve.
Store operations, care-plan creation, equipment maintenance, and similar workflows are automated by AI agents. LLM-assisted judgment combined with action execution reduces on-site workload, freeing time for higher-value work.
Manuals, cases, guidelines, and historical documents unify into one RAG. Onboarding, incident response, and instant reference become routine, turning tacit expertise into organizational knowledge. Local LLM deployment is supported.
Urban data, sensor data, and video data unify to deliver site evaluation, skill assessment, and anomaly forecasting. Decision precision improves and risks surface earlier.
For the common challenges companies face when adopting AI, dattala's approach delivers concrete answers.
System rollouts turn into a game of telephone
Misalignment between leadership and the field, or between IT and business units, makes meaningful outcomes hard to achieve.
Smooth implementation grounded in the whole business
Vision and operational process are understood together, identifying real problems and proposing solutions that contribute to business growth.
Tacit expertise needs to be shared and inherited
Expert judgment must be made explicit and put into circulation across the organization to stay competitive.
Proven track record turning institutional knowledge into shared knowledge
Natural language processing, speech recognition, and generative AI combine to make institutional knowledge visible and shareable.
Disconnected systems and siloed data
Department-specific systems and legacy integrations block enterprise-wide data activation and optimization.
End-to-end implementation that connects data into action
System integration and custom development combine to meet the diverse system needs across the enterprise.
From first inquiry through production, dattala partners alongside the team as a co-creation partner.
Share the current challenges and considerations through the web form.
Operational processes and target outcomes are heard, with AI opportunities mapped together.
A concrete proposal covers technology selection, data requirements, and schedule.
Validation on real data confirms technical feasibility and operational fit.
Integration into production systems, operational governance, and continuous improvement are supported end-to-end.
