● The AI Intelligence Platform

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.

2,000 / 2,000conversations · zero errors
153 mstypical response
~30 sintegration to live

Measured on the platform under load — not asserted.

● Why it looks different

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.

● The Coworker Harness

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.

  • ✓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.”
Explore the engines ↓
Coworker
Harnessreasoning loop
Context Engine Memory Engine Guardrails Engine Approval Gates The Validator Learning Engine
● The architecture

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.

Identity & tenancy — spans every layer
verified-token identity
signed pack identity
query-level isolation
per-tenant scoping
empty audience = nobody
tenant is a thread, not a column
ACoworker Studio· authoring — never in the request path
Personas Releases & changelog MCP registry Secrets by name Budgets & spend Tenants
publishes coworkers
L1Experience· every surface
Microsoft TeamsTeams
WhatsAppWhatsApp
SlackSlack
Web
Voice
SMS
Phone
Terminal
1webhooks · WebSocket · SSE
L2Orchestration — MAS Gateway· one inbound door
Ingress
Adapters
Sessions
Routing
Policy
Commands
Delivery
Spill
Reach ladder
Refusal
Continuity
Proactive
GoogleEntraIdentity
2jobs ↓ · replies ↑
L3Transport — the bus· work is pulled
RabbitMQ Redis Streams Azure Service Bus leases · quorum · DLQ
3workers pull
L4Coworker Runtime· the harness — every engine the model runs inside
Reasoning Engine
plans · acts · recovers
AidaIntakeYours
Context Engine
Memory Engine
Guardrails Engine
Evaluation Engine
The Validator
Approval Gates
Learning Engine
Usage & Cost Engine
Isolated runtimes
OpenSandbox
isolated container per conversation
MCP Pack Host
hot-load ~30s · signed identity
4LLM & Realtime calls
L5Model· any model, no lock-in
OpenAIOpenAI
Any model
Realtime voice
Limits & pricing
Usage ledger
5sessions · ledger · artifacts
L6Data· managed, any cloud
PostgreSQL
Redis
Object store
User drives
Secrets
6ship
L7Delivery· keyless, any cloud
GitHubGitHub Actions
OCI registry
Containers
Promote by retag
AWSAzureGoogle CloudAny cloud
git tag→CI — no green, no wheel→signed publish→hot-load · ~30s, no restart
Observability — spans every layer
Always-on stats
OpenTelemetryOpenTelemetry
Trace-linked logs
MLflowMLflow traces
Per-tenant counters
The Observatory
one span tree per message
Guardrails  ·  Approval gates  ·  Evaluations  ·  Verdict ledger  ·  Release governance  ·  Usage & cost  —  enforced across every layer
● Inside the Coworker Runtime

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.

01

Reasoning Engine

Thinks through real work end to end — plans, acts, and recovers from dead ends. Coworkers that finish jobs, not tickets.

02

Context Engine

Every conversation starts fully briefed: who this is, what they told you before, what the moment needs. Your customers never repeat themselves.

03

Memory Engine

Total recall, on the record. What was said six weeks ago is still there — in full — the moment it matters.

04

Guardrails Engine

Brand-safe by construction. Protections for data, conduct and manipulation that can be tightened to your policies — and never loosened below ours.

05

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.

a person decides here
06

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.”

07

Evaluation Engine

Proof before production. Every change faces a bank of real-world scenarios. Nothing ships on the strength of a good demo.

08

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.

09

Usage & Cost Engine

A CFO-grade meter. Live spend per coworker and per customer, priced as it happens. A retry never bills twice.

10

OpenSandbox

Anything an coworker executes happens in a sealed room — an isolated container per conversation, away from your systems.

11

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.

12

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.

● Control

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.

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.

● Proof over promises

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.

2,000 / 2,000
conversations completed under load — zero errors
platform load test · 200 concurrent
153 ms
typical platform response time
same test · single worker
62.6% → 0
false alarms in safety checks, after calibration
guardrail calibration · 2026
+84 pts
better at tasks that depend on remembering your customer
memory evaluation
~30 s
from a finished integration to live in production
pack hot-load, measured

See it run on your kind of work.

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