Engineering Intelligence

Engineering Intelligence.
Predictive Engineering Intelligence & Agentic Eng Workforce.

Unify code, delivery, incident, cost and security data into a single engineering view. Predict delivery risk, reliability and cost-to-serve — and coordinate specialist agents across delivery, reliability, security, quality and cost.

Executive Snapshot
LIVE
Lead time for change−68%
Change failure rate−66%
MTTR−79%
Cloud unit cost−42%
7 business signals detected · 9 specialists live

Executive Outcomes — Engineering

Ship predictably. Reduce risk. Improve reliability.

Executives aren't buying AI. They're buying better decisions, faster forecasts and lower cost of execution. NESTSIGNAL™ is positioned around the commercial outcomes leadership teams care about.

Increase
Delivery Predictability

Forecast roadmap slippage early and reallocate before it hits the business.

Reduce
Technical Risk

Surface platform, dependency and security risks at the leadership level.

Improve
Platform Reliability

Move from reactive incidents to predictive operational health.

Increase
Engineering Throughput

Free senior engineers to focus on the highest-leverage work.

Outcomes first

What changes for engineering intelligence leaders — measured, not promised.

See verified proof
−68%
Lead time for change
−66%
Change failure rate
−79%
MTTR
−42%
Cloud unit cost

The Challenge

Engineering runs on dashboards no one trusts.

NESTSIGNAL™ replaces fragmented engineering tooling with a single Predictive Intelligence & Agentic Workforce platform — connecting code, delivery, incident, cost and security systems, generating engineering signals, predicting risk and execution alongside your engineering leaders.

Delivery slipping inside the sprint
Incidents repeat across services
Reliability budgets blown silently
Cloud cost drifts unattributed
Security findings stack without triage
Quality regressions reach production
Engineering leaders trapped in status
No connection between code and outcomes

Predictive Engineering Intelligence

One intelligence layer for every engineering decision.

Unified Eng View

Code, delivery, incident, cost and security reconciled into one live view.

Delivery Signals

Throughput, cycle time and predicted ship-date drift by team and stream.

Reliability Intelligence

SLO health, incident pattern detection and blast-radius modelling.

Cloud Cost

Cost-to-serve by service, team and customer — with anomaly detection.

Security Posture

Vuln backlog, drift, exploitability and remediation prediction.

Code Quality

Hotspots, complexity, ownership and risk drift across the codebase.

Developer Experience

Friction, toil and DX signals — from PRs to deploys to on-call.

Execution

Open PRs, draft RCAs, file tickets and ship execution packs — auditable.

Agentic Workforce

Specialists collaborate across the engineering lifecycle.

01ConnectCode, delivery, incidents
02SenseThroughput & reliability
03PredictDelivery & risk
04PlanCapacity & remediation
05ActPRs, RCAs, tickets
06ReportEng packs
07OptimiseCost & DX

AI Teams

Packaged Engineering Teams. Run at scale.

Eng Lite

For lean engineering orgs.

  • 3 specialist agents
  • Core connectors (Git, CI, incidents)
  • Weekly delivery pack
  • Email & community support
Most popular
Eng Pro

For scale-up engineering orgs.

  • 7 specialist agents
  • Full eng connector pack (Git, CI/CD, SRE, cloud, security)
  • Predictive delivery & reliability signals
  • Dedicated engineering engineer
Eng Elite

For enterprise engineering organisations.

  • All 9 specialist agents
  • Custom connectors, FinOps, security & DX modules
  • Real-time signals & autonomous execution
  • Fractional CTO advisory included
Enterprise

For global multi-region engineering.

  • Multi-region, multi-product deployment
  • Private model hosting, SLAs and audit support
  • Custom specialists via marketplace
  • Embedded NESTSIGNAL™ Advisory team

Extend any Engineering team with additional specialists, FinOps modules, security packs and templates from the NESTSIGNAL™ Marketplace. See full Plans & Services →

AI Specialists

Nine specialists. One coordinated engineering workforce.

ACTIVE
engineering · Specialist 01/09

Delivery Agent

Throughput, cycle time and predicted ship-date drift by team and stream.

Signals
Cycle time drift, WIP build-up, dependency risk.
Recs
Re-sequence, split work, unblock paths.
Outputs
Delivery dashboards, ship-date forecasts, team packs.
Outcomes
Predictable delivery without firefighting.
View SpecialistNESTSIGNAL™
ACTIVE
engineering · Specialist 02/09

Reliability Agent

SLO health, incident pattern detection and blast-radius modelling.

Signals
Error budget burn, recurring incident patterns, change risk.
Recs
Hardening backlog, runbook updates, change gates.
Outputs
SLO packs, RCAs, reliability scorecards.
Outcomes
Higher reliability with fewer incidents.
View SpecialistNESTSIGNAL™
ACTIVE
engineering · Specialist 03/09

Incident Agent

On-call assistant — triage, comms, RCA drafting and follow-up.

Signals
Page volume, MTTR, repeat incidents.
Recs
Routing, comms templates, follow-up actions.
Outputs
Triage briefs, RCA drafts, follow-up tickets.
Outcomes
Faster MTTR and less on-call toil.
View SpecialistNESTSIGNAL™
ACTIVE
engineering · Specialist 04/09

FinOps Agent

Cost-to-serve by service, team and customer with anomaly detection.

Signals
Cost anomalies, idle resources, unit-cost drift.
Recs
Right-sizing, commitments, architecture moves.
Outputs
Cost dashboards, savings backlog, exec briefs.
Outcomes
Lower cloud bill and clearer unit economics.
View SpecialistNESTSIGNAL™
ACTIVE
engineering · Specialist 05/09

Security Agent

Vuln backlog, drift, exploitability and remediation prediction.

Signals
New CVEs, drift, exposure, ageing findings.
Recs
Prioritised remediation, mitigations, owners.
Outputs
Security dashboards, remediation PRs, posture packs.
Outcomes
Lower exposure and faster remediation.
View SpecialistNESTSIGNAL™
ACTIVE
engineering · Specialist 06/09

Code Quality Agent

Hotspots, complexity, ownership and risk drift across the codebase.

Signals
Complexity hotspots, churn vs. defects, ownership gaps.
Recs
Refactor priorities, ownership fixes, test coverage.
Outputs
Code-health maps, refactor backlog, ownership packs.
Outcomes
Lower defect rate and faster change.
View SpecialistNESTSIGNAL™
ACTIVE
engineering · Specialist 07/09

QA / Test Agent

Coverage, flake detection and regression prediction.

Signals
Test flake, coverage gaps, regression risk per change.
Recs
Test additions, flake fixes, change gates.
Outputs
Test reports, regression briefs, release readiness.
Outcomes
Fewer regressions reaching production.
View SpecialistNESTSIGNAL™
ACTIVE
engineering · Specialist 08/09

DevEx Agent

Developer experience — friction, toil and onboarding signal.

Signals
PR cycle time, onboarding time, toil tickets.
Recs
Platform fixes, tooling upgrades, process changes.
Outputs
DX dashboards, friction backlog, exec briefings.
Outcomes
Happier, faster engineers.
View SpecialistNESTSIGNAL™
ACTIVE
engineering · Specialist 09/09

Architecture Agent

Architecture risk, dependency mapping and decision memory.

Signals
Dependency risk, scaling limits, ADR drift.
Recs
Decomposition, decoupling, scaling moves.
Outputs
Architecture maps, decision memos, risk packs.
Outcomes
Architecture stays ahead of growth.
View SpecialistNESTSIGNAL™

Executive Leadership

Built for the people accountable for engineering outcomes.

Chief Technology Officer

Live picture of delivery, reliability and cost — defensible to the board.

VP Engineering

Throughput, MTTR and DX signal across teams in one view.

Head of Platform

Cost-to-serve, reliability and DX — connected to roadmap.

Chief Executive

Engineering performance translated into customer and commercial outcomes.

Executive Dashboard
LIVE
Module
Delivery Cockpit
Module
Reliability Map
Module
FinOps View
Module
Security Posture
Module
DX Index
Module
Architecture Decisions
Lead time for change
−68%
Change failure rate
−66%
MTTR
−79%

Connected Data

Connects to the entire engineering stack.

See all integrations
Code
GitHub
Code & PR signal
Code
GitLab
Code & PR signal
Code
Bitbucket
Code & PR signal
CI/CD
CircleCI
Delivery telemetry
CI/CD
GitHub Actions
Delivery telemetry
Delivery
Jira
Work tracking
Delivery
Linear
Work tracking
Incidents
PagerDuty
Paging & on-call
Incidents
Opsgenie
Paging & on-call
Observability
Datadog
SLO & telemetry
Observability
New Relic
Performance telemetry
Errors
Sentry
Error tracking
Security
Snyk
Vuln & dependency
Cloud
AWS
Cost & infra
Cloud
GCP
Cost & infra
Cloud
Azure
Cost & infra
Warehouse
Snowflake
Engineering data lake

Engineering Signals

Continuous detection across delivery, reliability and cost.

Delivery Slippage — Payments Stream
90% conf.

Cycle time up 27%; ship-date for v2.4 predicted 9 days late.

Impact
Roadmap commitment
Value
Recover release date
Recommended actions
  • Re-sequence work
  • Unblock dependency
Delivery AgentArchitecture Agent
SLO Burn — Checkout API
93% conf.

Error budget 78% burnt in 6 days; recurring 5xx after deploy.

Impact
Reliability
Value
Protect SLO and revenue
Recommended actions
  • Roll back canary
  • Open RCA
Reliability AgentIncident Agent
Cloud Cost Anomaly — Region EU
91% conf.

EU region cost up 32% week-on-week; idle compute spike.

Impact
Cost-to-serve
Value
Save ~£26k / month
Recommended actions
  • Right-size cluster
  • Decommission idle
FinOps Agent
Security — Critical CVEs
96% conf.

4 critical vulns reachable in production; 1 with active exploit.

Impact
Security exposure
Value
Reduce blast radius
Recommended actions
  • Patch & redeploy
  • Mitigate at edge
Security Agent
Code Hotspot — Billing Module
87% conf.

High churn × complexity × low coverage — defect risk elevated.

Impact
Quality risk
Value
Avoid revenue defects
Recommended actions
  • Schedule refactor
  • Add test coverage
Code Quality AgentQA / Test Agent
Repeat Incident — Search Service
92% conf.

3rd occurrence of the same pattern in 21 days.

Impact
Reliability
Value
Stop repeat outage
Recommended actions
  • Open hardening epic
  • Update runbook
Incident AgentReliability Agent
DX Friction — PR Cycle Time
85% conf.

PR cycle time on platform team up 41%; review wait dominant.

Impact
Velocity
Value
Restore team velocity
Recommended actions
  • Add reviewers
  • Automate checks
DevEx AgentDelivery Agent

Predictive Forecasting

Forward-looking engineering intelligence with confidence bands.

Lead Time for Change
6.2d2.0d
12wknow
Change Failure Rate
16%5%
12wknow
MTTR
94m20m
12wknow
Cloud Unit Cost
$0.42$0.24
12wknow
Open Critical Vulns
380
12wknow

Marketplace

Expand your engineering platform over time.

Explore marketplace
AI Specialists

Add specialists from the catalogue as the org scales.

AI Teams

Activate delivery, reliability and FinOps teams in days.

Templates

RCAs, ADRs, release notes, board packs.

Playbooks

Reliability, FinOps and security playbooks.

Industry Packs

SaaS, fintech, healthcare, regulated — pre-tuned.

FinOps Module

Unit economics and savings programme.

Connector Packs

Niche connectors for observability and security.

Premium AI Models

Access to leading frontier and specialist models.

Additional AI Credits

Top-up usage capacity on demand.

Advisory & Services

Software is the start. Engineering transformation needs expertise.

Eng Discovery

Identify highest-impact engineering opportunities in 4 weeks.

Eng Strategy

Function-wide AI strategy aligned to commercial goals.

Platform Build

Internal platform & DX programme design.

Fractional CTO

Embedded engineering leadership on demand.

Implementation

Deploy specialists, connectors and workflows.

Training

Build internal capability across leaders and engineers.

Managed Eng

We run the workforce; you focus on the product.

Optimisation

Continuous tuning of signals, models and execution.

FinOps Programme

Stand up a sustained FinOps savings programme.

Customer Outcomes

Measured against the engineering metrics that matter.

−68%
Lead time for change
−66%
Change failure rate
−79%
MTTR
−42%
Cloud unit cost
−96%
Open critical vulns
+3.2×
Delivery throughput
+£2.8M
Cloud savings annualised
98%
Audit-ready change events

How We Deliver

Choose how you work with NESTSIGNAL

Every organisation is at a different stage of its AI journey. Some want to self-manage the platform. Some want expert guidance. Others want outcomes delivered. NESTSIGNAL supports all three.

Option 01 · Self-Service Platform

Deploy & manage your own AI Workforce

Ideal for organisations that want complete control over their AI capabilities.

  • Full access to the NESTSIGNAL Platform
  • Predictive Business Intelligence
  • Agentic Workforce
  • AI Teams & Specialists
  • Marketplace, Connectors & Templates
  • Executive Dashboards
Explore the Platform

Option 02 · Managed AI Workforce

Your AI. Our Team.

We monitor your organisation, validate AI-generated insights and execute agreed actions on your behalf — an extension of your team.

  • Architecture Reviews
  • Delivery Optimisation
  • Platform Modernisation
  • DevEx Programmes
  • Reliability Reviews
Explore Managed Services

Option 03 · Advisory Services

Strategic AI Leadership

Work directly with experienced operators to accelerate your AI transformation.

  • AI Strategy & Governance
  • Executive Advisory & Workshops
  • AI Readiness Assessments
  • Department Transformation
  • Technology & Data Strategy
  • Fractional CTO / Chief AI Officer
Book an Advisory Session

Option 04 · Implementation & Success

From Discovery to Adoption

We design, deploy, integrate and continuously optimise NESTSIGNAL across your organisation.

  • Discovery Workshops & Platform Deployment
  • Data Integration & Connector Configuration
  • AI Team Setup & Custom Specialists
  • Workflow Automation & User Training
  • Change Management & QBRs
  • Performance & AI Maturity Reviews
Talk to Implementation

Software subscriptions · Managed AI workforce · Advisory · Implementation & success — one long-term transformation partner.

Verified outcomes

How operators put this into production.

Anonymised executive case studies from teams running NESTSIGNAL across engineering intelligence and adjacent functions.

All case studies
Payments
Global Payments Network

Risk, finance and operations teams ran on disconnected dashboards. Anomalies in settlement and chargeback flow were detected days late.

94%
Faster anomaly detection
£6.2M
Annual leakage recovered
11×
Decision velocity vs. BI
Retail & Commerce
Multi-brand Retail Group

Marketing, merchandising and store ops worked in silos. Predictive insight existed in pockets but never reached execution.

+18%
Like-for-like revenue uplift
−32%
Time-to-decision across functions
4.1×
Marketing ROI on coordinated spend

Available With

Bring Engineering Intelligence. into your business.

Every Solution, Specialist and Workforce is delivered through one of three engagement models. Compare plans on the Plans page.

Engineering Intelligence
See Predictive Engineering Intelligence running on your stack.