An AI workforce you can run your business on.
Most AI tools answer questions. Ospectra coworkers do the work — on every channel your customers use, inside controls your board can sign off on.
One platform carries all of it: the Coworker Harness that reasons through real work, the Gateway that puts the same coworker on every surface, and plug-in packs that connect your systems in weeks, not quarters.
Measured on the platform under load — not asserted.
Built to think, not to follow a script.
Real conversations don’t follow a diagram — so our coworkers don’t either. Every coworker runs on a reasoning core that thinks through each situation and decides its own next step, inside limits the platform itself enforces.
Fewer boxes. Far fewer dead ends. Coworkers that finish the job, not the script.
Every layer of the platform is measured before it ships and enforced by the runtime itself — not by instructions we hope the AI follows. Everything on this page is here because it earned its place.
One reasoning core. Fully harnessed.
The Coworker Harness is the mind every Ospectra coworker runs inside. It plans the work, briefs itself before every reply, acts through your systems, and recovers when a path dead-ends — while the harness itself keeps every step inside the lines.
Reasoning Engine
Thinks through real work end to end — plans, acts, and recovers from dead ends. Coworkers that finish jobs, not tickets.
Context Engine
Every conversation starts fully briefed: who this is, what they told you before, what the moment needs. Your customers never repeat themselves.
Memory Engine
Total recall, on the record. What was said six weeks ago is still there — in full — the moment it matters.
Guardrails Engine
Brand-safe by construction. Protections for data, conduct and manipulation that can be tightened to your policies — and never loosened below ours.
Approval Gates
The moments that matter wait for your people — money, signatures, saying no to a customer. Frozen until a human rules, even when the coworker runs overnight.
The Validator
Independent quality control on every piece of work. A second mind — that never sees the first one’s reasoning — confirms the job is actually done before anyone hears “done.”
Evaluation Engine
Proof before production. Every change faces a bank of real-world scenarios. Nothing ships on the strength of a good demo.
Learning Engine
Gets better at your business. A thumbs-up becomes a worked example; a correction becomes a rule — with your team approving every lesson.
Usage & Cost Engine
A CFO-grade meter. Live spend per coworker and per customer, priced as it happens. A retry never bills twice.
OpenSandbox
Anything an coworker executes happens in a sealed room — an isolated container per conversation, away from your systems.
MCP Pack Host
Your systems, plugged in. CRM, records, scheduling — delivered as packs that go live in the running platform in about thirty seconds, without downtime.
Coworker Studio
Build coworkers in a browser — roles, rules and channels authored by the people who know the work. Every change versioned, every coworker with its own changelog.
One platform. Every layer.
From the surfaces your customers talk to, down to the data — with identity on one side and observability on the other, running through everything. Any cloud, any AI model, one version number.
Explore the engines ↓Twelve engines. One promise: work you can trust.
Every coworker — ours or the ones you author — runs inside the same engines. A capability proven once is proven for all of them.
Ask
Answers questions. Takes no action at all.
Plan
Proposes the steps and stops. Nothing moves until you approve.
Coworker
Does the work, pausing at every gated action for a human decision.
Autonomous
Runs unattended — and still freezes at the irreversible moments. No setting removes that.
The runtime keeps the promise, not the prompt.
Autonomy is a dial, not a leap.
Start with answers only. Grow into unattended operation as the evidence earns it. The platform holds whichever setting you choose.
Measured, not asserted.
We test the platform the way your customers will use it — under real load, on real scenarios — and we publish the results. That discipline is why these numbers mean something.
Fewer boxes. Far fewer dead ends. Coworkers that finish the job, not the script.
Every layer of the platform is measured before it ships and enforced by the runtime itself — not by instructions we hope the AI follows. Everything on this page is here because it earned its place.
The runtime keeps the promise, not the prompt.
Anyone can write “never do X” in an instruction and hope. In a business where an coworker talks to real customers, hoping isn’t a control — so the limits live in the platform itself, where no clever conversation can talk its way past them.
See it run on your kind of work.
Let's Get You Started
Choose the option that fits what you need right now.
Speak with a member of our sales team to discuss your organization's needs, learn how OSpectra can support your workflows, and explore whether the platform is a good fit.
Talk to SalesLearn About OSpectra
Speak with a member of our sales team to discuss your organization's needs, learn how OSpectra can support your workflows, and explore whether the platform is a good fit.
Best for: Initial conversations, pricing, use cases, and general questions.
Book a Live DemoSee OSpectra in Action
Meet with Keshav, Product Manager at OSpectra, for a live walkthrough of the platform based on your operational needs and workflows.
Best for: Product evaluation, feature walkthroughs, technical questions, and detailed workflow discussions.
Contact✓ One fluid loop that plans, acts, and recovers — no brittle hand-offs between separate systems.
✓ Briefed by the Context and Memory Engines before every reply, so customers never repeat themselves.
✓ Guardrails and human approval gates enforced by the harness itself — not by instructions.
✓ Work confirmed done by an independent Validator before anyone hears “done.”
Anyone can write “never do X” in an instruction and hope. In a business where an coworker talks to real customers, hoping isn’t a control — so the limits live in the platform itself, where no clever conversation can talk its way past them.