AegisData — The Agent Lifecycle platform for high-stakes AI

What every team is held to

Three needs. One bar. Every team.

When agents move from demo to deployment, the conversation changes. Three questions decide whether they ship.

Performance

Does it actually do the job — well?

Latency, accuracy, escalation rate. The agent has to deliver outcomes that hold up under real customer load.

Reliability

Does it behave the same way next week?

No silent drift, no surprise regression, no quiet violations of the rules you set. Same input, same kind of answer.

Cost

Does it scale without breaking the budget?

Per-action, per-customer, per-decision economics that are honest enough to plan around — and good enough to defend.

Phase 01 · Before deployment

Agent Coach.
Train the skills the role requires.

An agent shouldn't be promoted into production any more than a junior should be put in front of a customer on day one. Coach trains the agent against the skills its role demands — drills, scoring, targeted feedback — until it's ready to graduate.

Try Coach Continue the lifecycle ›

aegis.coach · scorecard

Pre-flight

aid_3c44 · sales-coach v4

role: customer onboarding · 1,200 drills run

86

Readiness · /100

Tool selection

picks the right tool 9 of 10 times

92

Cost discipline

stays inside per-action budget

88

Refusal handling

refuses out-of-scope requests politely

95

Tone calibration

14 cases flagged "uncertain" by reviewers

71

Latency targets

avg 1.8 s (target ≤ 2.0 s)

89

Policy adherence

2 hard violations in last drill set

64

Coach suggestion

Re-train tone calibration with 50 reviewer-labeled examples before promoting. Targeted change explains 78% of weak-tone failures and is the smallest possible patch.

Phase 02 · Across its working life

Agent Live.
Observe every Plan, Communication, Execution, Verification.

An agent's working life is a stream of four-step moments — what it intended (plan), how it spoke (communication), what it actually did (execution), and what was checked (verification). Live captures all four as one continuous record so nothing happens off-camera.

Try Live Continue the lifecycle ›

↑ The four-phase trace shown in the hero is one moment in Live's stream. Every agent action is recorded the same way — directly comparable across agents, vendors, and time.

Phase 03 · When something breaks

Agent Doctor.
Find the cause. Prescribe the fix. Recover.

When an agent slows down, refuses too much, or starts to drift, Doctor opens a case. It traces the symptom back through Live's record to find the actual cause — and prescribes the smallest, safest change to recover.

Try Doctor See the technology ›

aegis.doctor · case #4012

Resolved

CASE #4012 · 02:14 UTC

aid_3c44 · sales-coach · refusal-rate spike

✓ Recovered in 4 min

Symptom

Refusal rate ↑ 3.2× since Tuesday

142 customer sessions affected. Average response latency unchanged. Cost per action unchanged. Pattern isolated to promotional-SKU queries.

Root cause — traced through Live's record

L1

Plan looked correct in 138/142 cases — agent intended to answer.

L2

Communication step never reached customer — execution step bailed first.

L3

Execution: pricing-tool returned 422 on promotional SKUs. Agent interpreted 422 as policy denial.

L4

Verification then refused the answer because the agent had already escalated → customer received refusal.

Prescription

Patch agent's interpretation of upstream 422 → retry with fallback

Smallest viable scope: this agent only. Fallback path validated against Coach drills (95% pass). Rollback available for 7 days.

applied 02:18 UTC · affected sessions: 142 · subsequent refusal rate: baseline restored

The technology underneath

Three things only AegisData does.

Other tools wrap an agent's outputs. AegisData understands the agent and the world it works in — across the full software–hardware stack, with privacy preserved end to end.

Technology · 01

Agent + execution-environment context.

We capture what the agent knows and what is happening around it — its memory, its tool responses, the state of the system it acts on — and tie all of it to the moment of action.

AGENTmemory · prompt · tool history

TOOLSapi responses · status codes · latency

ENVcustomer state · queue depth · upstream health

POLICYrole scope · budget · regulator rules

↓

Unified context record

tied to every action · queryable across the lifecycle

Technology · 02

Software and hardware, co-designed top to bottom.

The Coach/Live/Doctor logic and the compute that runs it are designed together — so observation, verification, and recording are efficient at every layer, not stitched on after the fact.

Coach · Live · Doctor SW · application

Verification + recording engine SW · runtime

↑ co-designed across the boundary ↓

Compute scheduler · attestation HW · accel

Storage · ledger · key isolation HW · root

Technology · 03

Privacy-preserving by construction.

Agent records touch sensitive things — customers, transactions, internal decisions. Privacy isn't a setting in AegisData; it's a property of how the data flows.

Encrypted at the boundary

Identifiers and confidential payloads protected the moment they enter.

↓

Analyze without exposing

Patterns surface from the record without the underlying detail leaving its trust boundary.

↓

Share only what is safe

Cohorts, lessons, benchmarks travel between teams — without the data underneath.

Train your agents.
Watch every move.
Heal them when they break.

Three needs. One bar. Every team.

Does it actually do the job — well?

Does it behave the same way next week?

Does it scale without breaking the budget?

Agent Coach.
Train the skills the role requires.

Agent Live.
Observe every Plan, Communication, Execution, Verification.

Agent Doctor.
Find the cause. Prescribe the fix. Recover.

Three things only AegisData does.

Agent + execution-environment context.

Software and hardware, co-designed top to bottom.

Privacy-preserving by construction.

Ready to put your agents on a platform built for their lifecycle?

Three needs. One bar. Every team.

Does it actually do the job — well?

Does it behave the same way next week?

Does it scale without breaking the budget?

Agent Coach.Train the skills the role requires.

Agent Live.Observe every Plan, Communication, Execution, Verification.

Agent Doctor.Find the cause. Prescribe the fix. Recover.

Three things only AegisData does.

Agent + execution-environment context.

Software and hardware, co-designed top to bottom.

Privacy-preserving by construction.

Ready to put your agents on a platform built for their lifecycle?

Agent Coach.
Train the skills the role requires.

Agent Live.
Observe every Plan, Communication, Execution, Verification.

Agent Doctor.
Find the cause. Prescribe the fix. Recover.