JOSEPH GABRIEL LAGONSIN

News Editor

Sapia.ai has launched Tia, an AI assistant for hiring teams. It is aimed at organisations that want to use existing candidate interview data to inform recruitment decisions.

Tia allows recruiters and hiring managers to ask questions in everyday language and receive answers based on previous AI interviews conducted through the Sapia.ai platform. The responses draw on structured interview evidence rather than CVs and include the reasoning behind each recommendation, while the final hiring decision remains with a person.

The launch comes as hiring activity in the UK remains subdued. Data cited by Sapia.ai from Reuters and Indeed showed job postings had fallen 11% since the start of the year and were 32% below their pre-pandemic level, even as demand for AI skills continued to rise.

Against that backdrop, recruitment technology suppliers are placing greater emphasis on tools designed to help employers do more with the information they already collect. Sapia.ai is positioning Tia as a way to reuse interview data that often goes untouched once a vacancy has been filled.

Businesses spend heavily on attracting, interviewing and assessing candidates, but much of the knowledge generated during that process is then left in separate systems or archived reports, according to Sapia.ai. Tia is designed to surface those records so hiring teams can revisit previous applicants, compare shortlisted candidates or prepare interview guides without manually searching through documents.

Examples include identifying candidates already in a talent pool, assessing which previous applicants showed leadership potential, comparing two finalists and creating onboarding plans based on information already captured. The assistant works only with an organisation’s own hiring data held within the Sapia.ai platform.

That approach reflects a wider debate over the use of AI in recruitment. Employers and software providers are under pressure to show that automated recommendations can be understood and challenged, particularly when they affect employment outcomes. Sapia.ai said each answer provided by Tia is based on structured interview evidence and accompanied by transparent reasoning.

Barb Hyman, Chief Executive Officer and Founder of Sapia.ai, said the product is intended to help businesses make better use of information they already have.

“Tia is about helping businesses make better use of information they already have,” Hyman said.

“Companies spend millions every year attracting and assessing talent, but once a role is filled, much of that knowledge sits unused. We wanted to change that.”

Hyman said the system is designed to make historical hiring data more accessible when a new vacancy opens.

“Tia turns years of hiring data into something organisations can actually use. Instead of starting from scratch every time a new role opens, recruiters can instantly rediscover great candidates they’ve already met, compare applicants using real evidence and make decisions with greater confidence.

“We believe AI shouldn’t replace human judgement but actually make it better. Tia gives hiring teams the information they need, when they need it, while keeping people firmly in control of the final decision.”

Beyond recruitment

Sapia.ai said Tia could also be used for internal workforce analysis. In addition to helping fill jobs, the assistant is intended to help employers identify internal talent, highlight leadership potential and spot skills gaps using behavioural data gathered during recruitment.

This suggests the company sees the product extending beyond candidate selection into broader workforce planning. For employers facing lower hiring volumes and pressure on recruitment budgets, the ability to draw more value from existing candidate and employee data may prove attractive, particularly if it reduces duplicated search and assessment work.

At the same time, the claims are likely to be tested against ongoing scrutiny of AI tools used in human resources. Questions around bias, explainability and accountability remain central in the market, and vendors are increasingly expected to show that automated systems support rather than replace human decision-making.

Sapia.ai has made that distinction central to Tia’s launch, arguing that the assistant should be used to organise and interpret evidence already held by employers rather than make decisions on their behalf. The tool is now available as part of its platform.

A spokesperson for the water company said it is fixing 20 per cent more leaks than normal, or the equivalent of one every 10 minutes.

The company has said the prolonged hot and dry weathers puts pressure on the water pipes, with dry ground putting strain on the pipes.

At the same time, the company has put the blame on customers as higher demand for water increased making bursts and leaks more likely.

The company also confirmed it has replaced 100km, out of 140,00km total, of water mains since April last year, their biggest upgrade in 150 years.

CEO Chris Weston defended the company’s pay levels, as his pay rose by 14% to £1.163 million in the year to March, while other directors received bonuses totalling £4.1 million. (Image: House of Commons/UK Parliament/PA Wire)

Additionally, £500 million has been invested in finding and fixing leaks.

The company has just come under fire after CEO, Chris Weston, said on the BBC’s Big Boss Interview podcast, stated that some of the firm’s targets were beyond what they could achieve.

He said: “We have to hit a certain level of leakage, but it is so far in excess of what we are capable of doing, I think anyone would be capable of doing, however much money you invested, that it is not going to be achievable.”

Last year, it was fined a record £122.7 million by regulator Ofwat, largely for breaching sewage spill rules.

The company, serving 16 million customers in London and parts of southern England, treats 4.3 billion litres of waste daily.

Mr Weston, however, warned of the potential burden on taxpayers if this were to happen.

Instead, he backed a rescue deal proposed by the firm’s lenders.

Meanwhile, Mr Weston defended the company’s pay levels, as his pay rose by 14 per cent to £1.163 million in the year to March, while other directors received bonuses totalling £4.1 million.

Keepit has launched AI Truth Cloud, marking a broader push to position backup data as a trusted source for artificial intelligence systems.

The launch signals a new direction in how Keepit wants customers to use the copies of business data it stores outside production systems. Rather than treating backup mainly as a tool for compliance, recovery or ransomware response, Keepit is presenting it as a separate data layer that AI systems can verify, govern and use.

The platform is built around five pillars: Protect, Observe, Recover, Prove and Integrate. Keepit says they are intended to support a broader approach to data trust as organisations increasingly rely on AI agents and models in operational decision-making.

Three product areas are central to the initial rollout. AI Connector Backup is designed to protect AI-related assets such as agent configurations, skills, projects and models, with point-in-time restore. Keepit MCP is a headless API layer intended to connect Keepit-managed data to AI tools and workflows. AI Safe Room is an isolated environment based on an immutable copy of data for training, inference and testing away from live production systems.

Keepit says organisations should be able to verify the authenticity, provenance and integrity of data before it is used by an AI system. It also argues that a separate, immutable copy can serve as a recovery point if an AI tool, agent or model behaves unexpectedly.

Trust layer

Keepit is seeking to distinguish itself from AI vendors by stressing its role as an independent custodian of data copies across the applications it protects. Those copies are held in a vendor-independent cloud, which the company says gives customers a source of data outside the influence of third-party software providers.

The move comes as more software groups and infrastructure suppliers try to define their place in the AI stack. For backup and cyber recovery vendors, that increasingly means presenting stored data not just as insurance against outages or attacks, but as a controlled asset that can feed AI systems without exposing production environments.

Keepit plans further development across all five pillars, including AI agent behavioural monitoring, automated compliance evidence generation, cryptographic data provenance and AI-driven threat rollback. It did not provide launch timings for those features.

Alongside the product launch, Keepit is introducing an independent software vendor partnership strategy. The plan would allow software vendors to integrate Keepit’s approach to sovereignty, immutability and governance into their own products, extending the platform’s reach beyond direct customers.

Keepit also said it would continue broadening the range of applications and environments it supports as customers adopt more AI-driven and agentic workflows. The company argues that protecting the data AI tools create and consume will become a new area of demand for backup suppliers.

Frederik Schouboe, Co-founder and Chief Visionary Officer at Keepit, said the product is designed to address a basic question: whether data used by AI can be trusted. “Organisations are making high-stakes decisions based on what their AI tells them. But data that can’t be verified shouldn’t be acted on. AI Truth Cloud gives enterprises an independent, tamper-proof, and provably complete data foundation – one that AI can safely reason from, one that organisations can prove the integrity of and roll back to a known-good state from when a decision goes wrong. Verifying the truth before you act, and recovering it when you didn’t. That is what it means to own the truth,” Schouboe said.

Customer demand

Keepit says some customers are already using its data foundation in AI-related workflows. Quanta Services echoed that message, linking verified and immutable data to greater confidence in AI use inside the business.

“Knowing that our AI is working from a verified, immutable source changes the conversation from risk management to competitive advantage. Keepit has become a foundational part of how we think about data integrity for AI,” said Tom Hicks, Senior Manager, Identity, Quanta Services.

Channel partners also pointed to demand from regulated sectors. Phoenix said public sector customers in particular are looking for ways to demonstrate that AI systems are used responsibly and can be audited.

“Our customers – especially in the public sector – are asking how they can use AI responsibly and demonstrate that to regulators. AI Truth Cloud changes that conversation from aspiration to practice. With an auditable, protected data layer built in, we can help organisations deploy AI at scale without compromising on governance or recoverability,” said Jonny Scott, Head of Cyber Advisory, Phoenix.

Keepit, which is headquartered in Copenhagen and says it serves more than 25,000 companies, has built its business around protecting software-as-a-service data in a cloud operated independently of the software vendors whose applications its customers use. The AI Truth Cloud launch extends that model into the growing debate over where reliable data for AI should sit and who should control it.