A Sydney software consultancy embeds senior developers inside client teams, builds custom software, and walks businesses into AI one careful step at a time. Demand, it turns out, went up.
There is a joke going around software teams that artificial intelligence will make programmers obsolete. Adaca, a consultancy founded in Sydney, has built a growing business on the punchline nobody expected: demand for good engineers went up, not down. The company embeds senior developers inside other companies' teams, builds custom software, and helps businesses figure out what to actually do with AI - and it does all three at once, on purpose.
The name is a clue to how the firm thinks about itself. Adaca is a nod to Ada Lovelace, credited as the first computer programmer, a woman who wrote an algorithm for a machine that did not yet exist. It is a fitting mascot for a company that spends its days shipping working software while everyone else argues about what the machines will eventually do.
But Adaca did not start with that name. It began in 2015 as Station Five, an agile shop founded by Lambros Photios that grew quickly by slotting engineering teams into large institutions. Within two years it was one of Australia's fastest-growing technology businesses. Qantas, EY, Bupa, ANZ - the early client list read like a roll call of Australian corporate heavyweights. Then came COVID, a set of pivots, and an unusual stretch of international work: software for the United Nations, the World Food Programme, and the Swiss Government. By late 2022 the company had outgrown its old identity and rebranded to Adaca. Today Darren Cook, based in Sydney, is listed as chief executive.
The rebrand was more than cosmetic. Station Five had been an innovation consultancy, the kind of firm large organisations hire to run a workshop and produce a prototype. Adaca is something plainer and, arguably, more durable: an engineering firm you hire to actually build and keep building. The shift from "help us think" to "help us ship" is the whole story of where a lot of software work has moved this decade.
Strip away the marketing and Adaca sells two things. The first is people: senior engineers who join a client's existing team, take direction from the client, and get to work. The second is technology: custom software built collaboratively, and AI introduced in stages rather than in one nervous leap. Most consultancies pick a lane. Adaca runs both from the same building.
Structurally, the firm describes itself as two integrated halves. Design and collaboration sit in Australia and New Zealand, close to the clients. Engineering scale sits in Manila, where the cost structure is friendlier. The interesting part is what stays where. Adaca keeps the judgement - the delivery leads, the client relationships - onshore, and puts the volume of engineering offshore. It is a quiet argument about what you should and should not outsource.
That model shows up in the two flagship offerings. Staff augmentation puts individual senior engineers into a client team on what Adaca calls a Resource-on-Request basis; the client keeps the direction while Adaca handles recruitment, payroll and retention. Managed teams scale that idea up: a dedicated group of five to thirty engineers with a delivery lead, run to the client's priorities and Adaca's processes.
The pricing is deliberately flat and legible - a monthly figure with no separate placement fee - and it comes wrapped in guarantees that read like confidence made contractual. A shortlisted candidate within 48 hours. A 30-day replacement guarantee if a placement underperforms. And a statistic the firm likes to cite: a 4.5-year average engineer retention, in an industry where 18 months on a team counts as loyalty.
Retention is a moat nobody puts on a slide. Keeping the same engineer on a codebase for years is worth more than any framework.
Every consultancy now claims to do AI. Adaca's angle is that it does the boring parts. Its engineers ship with Claude Code in the loop, and the firm reports up to 80% faster cycle times on greenfield work and 40 to 60% on legacy modernisation - the unglamorous job of dragging old systems into the present. Those numbers are the company's own, and worth treating as directional rather than audited, but the posture is clear: AI as a tool inside a senior engineer's hands, not a replacement for the hands.
For clients who want to adopt AI across their own organisation, Adaca uses a three-stage model it calls Crawl, Walk, Run. It exists for a specific, common character: the executive who bought a pile of AI licences, saw nothing ship, and now has to explain the spend to a board.
Team training, an enterprise licence with your chosen provider, and the policies that govern how AI gets used.
Governance: risks registered, controls scored, a defensible answer when leadership asks who signed off.
Agents built against the high-return processes - the point where the spend finally shows up as output.
The regulatory backdrop helps explain why this sells. Australia's corporate regulator has been sharpening its expectations on AI governance and data sovereignty, which turns "we should probably have a policy" into "we need one before someone asks." Governance is not the exciting part of AI. It is, increasingly, the part that gets budgeted.
Adaca also builds its own tool. Lovelace is an AI-powered coding assistant aimed at engineering teams that want code generation, intelligent refactoring, and enterprise-ready integrations without the loose ends. It ships an agent that can rewrite or upgrade files across a codebase from a single prompt, inline suggestions that adapt to a project's style and frameworks, and connections to GitHub, GitLab, Jira and, by the company's count, more than fifty other tools.
The detail worth sitting with is that Adaca put its own billable engineers on Lovelace. A consultancy that builds a coding assistant and then refuses to use it on client work would be telling you something. Using it is the more interesting claim - and the harder one to fake over a 4.5-year engagement.
If you won't eat your own cooking, why should a client trust the recipe?The unstated test behind any in-house tool
Adaca sits in a crowded stretch of the market. On one side are the offshore and nearshore talent platforms - the Andelas, Turings and Toptals of the world - selling access to distributed engineers. On another are the traditional consultancies' delivery arms, selling scale and a logo. On a third are the AI coding tools, from GitHub Copilot to Cursor, that Lovelace competes with directly.
What separates Adaca is the refusal to be only one of those. It is small enough to embed a single engineer who stays for years, and structured enough to stand up a thirty-person team with governance attached. Its customers cluster in fintech, superannuation and government - sectors where the software is mission-critical, the compliance is real, and the appetite for a flashy rip-and-replace is low. Named clients span Qantas, ANZ, Prospa, ClearView, IAG, EY, Infomedia and Morrison Securities, alongside the humanitarian work that shaped its post-COVID identity.
The problems these clients bring tend to rhyme. A team is short two senior engineers and cannot wait six months for a hire to clear probation. A twenty-year-old system is holding the business together and terrifying everyone who touches it. A board has asked what the AI strategy is, and the honest answer is a shrug and an invoice. Adaca's offerings map onto those anxieties one to one: augmentation for the hiring gap, managed teams and legacy modernisation for the old systems, and the Crawl-Walk-Run programme for the board slide. None of it is exotic. That is rather the point - the firm sells competence at the unglamorous problems that never actually go away.
The model is refreshingly unmysterious. Adaca bills flat monthly rates per embedded engineer or per managed team, with AI work priced as fixed-cost outcomes early and monthly rates once the milestones land. The margin engine is the geography: design and client-facing roles onshore, engineering volume in Manila. Reported backing includes a Series A raise around September 2023. Founded as Station Five in 2015, the firm reached 100-plus full-time engineers within roughly 18 months of its rebrand - fast growth for a services business that lives and dies on the quality of the people it can keep.
Which brings the story back to that opening joke. The bet AI made against programmers has, for now, gone the other way. Someone still has to point the tools at the right problem, register the risk, and stay on the codebase long enough to know where the bodies are buried. Adaca's wager is that this someone is a senior engineer with AI in the loop, not instead of the loop - and that plenty of companies will keep paying, monthly and all-in, for exactly that.