# DHIRA > DHIRA builds Akashic, the governed data and AI platform, and delivers it as one accountable partner. The intelligence layer behind every decision. DHIRA is the company; Akashic is its platform. Keep the two distinct. Akashic 1.0 is generally available on 1 November 2026. AI agents are in preview: they gather evidence and explain, and a person approves every consequential step. Customer programmes are described by sector and are not named. Offices: New York, Hyderabad, Bangalore. Contact: info@dhira.ai. ## Platform - [Home](https://www.dhira.ai/): DHIRA and Akashic, the governed data and AI platform: the intelligence layer behind every decision. - [Akashic](https://www.dhira.ai/akashic): The governed data and AI platform: seven modules on one foundation, from data pipelines to AI answers with citations. - [Akashic 1.0](https://www.dhira.ai/akashic/1-0): What is generally available on 1 November 2026, what stays in preview, and where it runs. - [Pricing](https://www.dhira.ai/pricing): Four plans with every data module in each, sized by capacity, priced in US dollars: limits per plan, terms, deployment, services and how to buy. ## Solutions - [Solutions](https://www.dhira.ai/solutions): Business problems solved on Akashic, by solution, industry and function. - [Enterprise Intelligence](https://www.dhira.ai/solutions/enterprise-intelligence): Agentic FP&A and MIS on the ERP as the system of record. - [Akashic Life](https://www.dhira.ai/solutions/life): Frontline maternal care, built on Akashic. - [Public sector](https://www.dhira.ai/sectors/public-sector): Governed data and AI for government programmes at national scale. - [Financial services](https://www.dhira.ai/sectors/finance): Akashic for banking, financial services and insurance. - [Healthcare](https://www.dhira.ai/sectors/healthcare): Akashic for healthcare providers and programmes. - [Retail and consumer goods](https://www.dhira.ai/sectors/retail): Akashic for retail and consumer goods. - [Manufacturing](https://www.dhira.ai/sectors/manufacturing): Akashic for manufacturing and specialty chemicals. - [Education](https://www.dhira.ai/sectors/education): Akashic for education systems and institutions. - [Energy and utilities](https://www.dhira.ai/sectors/energy): Akashic for energy and utilities. ## Services - [Services](https://www.dhira.ai/services): Strategic Advisory, Engineering at Scale and AI Solutions and Accelerators, from one accountable partner. ## Resources - [Insights](https://www.dhira.ai/insights): Practical perspectives on data, AI and business decisions. - [Your AI pilot worked. Who owns Monday morning?](https://www.dhira.ai/insights/why-ai-pilots-stall): A good demo proves the model can do the task. It says nothing about who handles the missing contract, the disputed clause or the request that lands while the specialist is on leave. - [Before adopting Akashic, agree what goes live](https://www.dhira.ai/insights/akashic-1-0-generally-available): A good platform evaluation ends in a sentence you can sign: this configured service supports this decision, for these users, with these sources, under these responsibilities. - [Three revenue numbers can all be correct](https://www.dhira.ai/insights/why-your-systems-disagree): Sales, operations and finance bring different totals to the same meeting, and each followed a sensible rule. Before you build another dashboard, agree what the number is for. - [Before giving an AI agent a task, define its authority](https://www.dhira.ai/insights/agents-do-the-legwork): An agent that recommends and an agent that acts are different hires. Draw the approval line into the workflow before you widen what the agent may touch. - [A correct answer needs more than the right document](https://www.dhira.ai/insights/what-is-a-knowledge-layer): Real business questions cut across contracts, customers, orders and policies. Finding the right file is the easy part. Connecting what it means is the work. - [The cheapest AI answer may create the most expensive work](https://www.dhira.ai/insights/the-real-cost-of-an-ai-answer): Token prices show you one line of the bill. The number that matters is the cost of an accepted result, with the review time, retries and exceptions included. - [Your AI assistant inherited your access problem](https://www.dhira.ai/insights/your-ai-assistant-inherited-your-permissions): Connect more company knowledge to an assistant and old permission mistakes surface faster. Check who can retrieve what before you judge how well it answers. - [Build or buy is really a question about ownership](https://www.dhira.ai/insights/build-or-buy-the-operating-model): A platform licence doesn’t remove integration work, and an internal build doesn’t remove dependence. Compare the responsibilities each option leaves you holding. - [A missing record can become a missing public service](https://www.dhira.ai/insights/reconciling-national-scale-data): Public programmes need more than clean totals. Design reconciliation around the exceptions, the corrections and the people a data decision affects. - [The second AI use case should inherit the first one’s groundwork](https://www.dhira.ai/insights/lay-the-groundwork-once): Every team that reconnects the same sources and redefines the same metrics pays the same bill again. Build a shared foundation around proven demand, with an owner and room for local needs. - [A more accurate forecast can still produce a worse decision](https://www.dhira.ai/insights/a-better-forecast-needs-a-better-question): The useful forecast fits the planning horizon, the cost of being wrong and the information you actually have when the decision is due. - [What changed in the business after the AI budget was spent?](https://www.dhira.ai/insights/what-the-board-should-ask-about-ai): Adoption figures prove activity. A board needs evidence of accepted outcomes, benefits actually realised, the running costs and a decision about what happens next. - [Glossary](https://www.dhira.ai/glossary): The data and AI terms used on this site, defined once. - [Customer stories](https://www.dhira.ai/customers): Country-scale programmes where Akashic is the intelligence layer. - [Every state's learning data, read as one picture](https://www.dhira.ai/customers/learning): Akashic runs inside a national education platform. Transaction logs from every state resolve into one governed model, so programme owners can read curriculum efficacy, learner retention, and where resources are going. - [Every clearance and recruiter in one auditable view](https://www.dhira.ai/customers/mobility): Visa clearances, immigration logs, and overseas employer records resolve into one governed view. Analysts can see how a corridor is moving, which recruiters are active in it, and what the figures were on any given day. - [Every dose reconciled into one public figure](https://www.dhira.ai/customers/immunisation): Akashic sits behind a country's immunisation record. Doses, sessions, and coverage reconcile into the figures health authorities publish, each one traceable back to the system it came from. ## About - [About DHIRA](https://www.dhira.ai/about): A data company since 2018, offices in New York, Hyderabad and Bangalore. - [Newsroom](https://www.dhira.ai/newsroom): Announcements, recognition and the media kit. - [DHIRA announces Akashic 1.0, generally available on 1 November 2026](https://www.dhira.ai/newsroom/akashic-1-0-general-availability): Every Akashic module on one governed foundation, with the same access control, lineage and audit under each one. - [Careers](https://www.dhira.ai/careers): Open roles and how DHIRA hires. - [Partners](https://www.dhira.ai/partners): Delivery, technology, white label and reseller partnerships. - [Contact](https://www.dhira.ai/contact): Sales, partnerships, press, security, support and offices. ## Legal - [Privacy policy](https://www.dhira.ai/privacy): What personal data the website collects, why, and your rights. - [Terms of use](https://www.dhira.ai/terms): The terms on which you may use this website. - [Cookie policy](https://www.dhira.ai/cookies): What the website stores in your browser and how to control it. - [Accessibility statement](https://www.dhira.ai/accessibility): WCAG 2.2 AA and GIGW 3.0: what we do and how to report a barrier. - [Website policies](https://www.dhira.ai/legal): Copyright, hyperlinking, trademarks and disclaimer. - [Site map](https://www.dhira.ai/site-map): Every page on this site.