TRUSTED BY ENGINEERING + RESEARCH TEAMS AT
TRUSTED BY ENGINEERING + RESEARCH TEAMS AT
AI that runs in the real world is a different build.
The demo worked. Then it met your data. What should we build with AI? On what timeline? With which team? How do we know it will actually work in our environment? Algorama answers it. With a blueprint, a build, and a team accountable for it running on the timeline that matters.
0
0
IP transferred on delivery, documented in the SOW.
0
0
IP transferred on delivery, documented in the SOW.
0
0
External dependencies. Your stack, your repos, your keys.
0
0
External dependencies. Your stack, your repos, your keys.
24/7
Production held by the team that built the system.
24/7
Production held by the team that built the system.
0x
0x
Faster path from blueprint to live in your infra.
0x
0x
Faster path from blueprint to live in your infra.
0
0
IP transferred on delivery, documented in the SOW.
24/7
Production held by the team that built the system.
0
0
External dependencies. Your stack, your repos, your keys.
0x
0x
Faster path from blueprint to live in your infra.
AI that runs in the real world is a different build.
The demo worked. Then it met your data. What should we build with AI? On what timeline? With which team? How do we know it will actually work in our environment? Algorama answers it. With a blueprint, a build, and a team accountable for it running on the timeline that matters.
0
0
IP transferred on delivery, documented in the SOW.
0
0
External dependencies. Your stack, your repos, your keys.
24/7
Production held by the team that built the system.
0x
0x
Faster path from blueprint to live in your infra.
Infrastructure your company owns outright.
THREE PILLARS
Production-grade systems owned by your team: built to hold through diligence, audit, and any transition from day one.
01
AI Discovery
A clear picture of what AI should actually do for your environment, before any build begins.
✓
Working AI demonstration, running against your real data
✓
Production-grade blueprint
✓
Component-level mapping of infra and pipelines
✓
Independent documentation the team owns end-to-end
02
Production Development
Infrastructure built to survive due diligence, without platform dependency.
✓
M&A-ready AI roadmap
✓
Private tooling with full data + policy control
✓
Full IP Ownership
03
Embedded AI Systems
Multi-agent systems that execute real workflows, end-to-end.
✓
Workflow intelligence mapping
✓
Custom multi-agent architecture and orchestration
✓
Integrations with CRMs, ERPs and operational tooling
✓
Continuous monitoring and performance accountability
CODE AS DELIVERABLE
AI that earns its keep, in plain code.
Every agent we ship is auditable. Read the prompts, follow the reasoning, watch the trace. The system your engineers extend is the system the board signs off on.
REASONING AUDITED
TOOLS OBSERVABLE
FULL TRACE, EVERY RUN
agent_run.log
# Blueprint → Build → Deploy
def deploy_agent(client):
print(f"[INFO] Reading repo: {client.repo}")
stack = inspect.environment()
policy = client.governance.load()
# Multi-agent assembly
agent = Algorama.assemble(stack, policy)
metrics = agent.run(real_data=True, sandbox=False)
# Post-deploy verification
assert metrics.uptime >= 99.9
assert metrics.accuracy >= benchmark
assert metrics.audit == "complete"
> [OK] Agent shipped to production · 6 days · 0 incidents
> [OK] IP transferred to client.engineering · SOW closed
> ▮
agent_run.log · v2.4
117 deploys · 0 incidents · p95 880ms
TRUSTED OPERATING STANDARDS
SOC2 Aligned
VPC Deployed
RBAC Access Controls
GxP-Aligned
AES-256 Encryption
Full IP Ownership
TRUSTED OPERATING STANDARDS
SOC2 Aligned
VPC Deployed
RBAC Access Controls
GxP-Aligned
AES-256 Encryption
Full IP Ownership
WHO WE WORK WITH
For the people who have to stand behind the system.
01
Research and domain-led teams
Your workflows and data do not fit any off-the-shelf platform. Algorama builds inside your systems, your data architecture, and your regulatory environment. The team keeps working the way it works.
See case studies
→
02
CTOs and technical leads
You have shipped production systems before. You know the difference between something that works and something that holds. Algorama embeds in the stack, follows existing engineering standards, and builds AI the team can own, extend, and debug without us.
See case studies
→
03
Founders and operators
AI is moving fast and the board is asking questions. Algorama builds the infrastructure that changes the answers. Owned systems, measurable ROI, and a team accountable for it running.
See case studies
→
PROCESS
Every build runs in the real environment from day one.
Every build runs in the real environment from day one.
Every build runs in the real environment from day one.
01
START HERE
Blueprint before build
Map the existing stack. Identify where AI delivers real ROI in this specific environment. Produce a documented blueprint: what to build, what order, and why. That blueprint is yours before the build starts.
02
Inside the real environment from day one
Algorama engineers work in the client's actual repos, pipelines, and tooling. Systems are built and validated against real data in the real environment.
03
Outcomes agreed before we start
Before anything reaches production, we define what working means for this system. Accuracy benchmarks. Failure mode documentation. A system that cannot be measured cannot be trusted.
04
Responsible for it running
The engagement extends beyond go-live. Algorama monitors production performance, flags issues, and improves proactively. The team that built the system stays responsible for it running.
01
START HERE
Blueprint before build
Map the existing stack. Identify where AI delivers real ROI in this specific environment. Produce a documented blueprint: what to build, what order, and why. That blueprint is yours before the build starts.
02
Inside the real environment from day one
Algorama engineers work in the client's actual repos, pipelines, and tooling. Systems are built and validated against real data in the real environment.
03
Outcomes agreed before we start
Before anything reaches production, we define what working means for this system. Accuracy benchmarks. Failure mode documentation. A system that cannot be measured cannot be trusted.
04
Responsible for it running
The engagement extends beyond go-live. Algorama monitors production performance, flags issues, and improves proactively. The team that built the system stays responsible for it running.
01
START HERE
Blueprint before build
Map the existing stack. Identify where AI delivers real ROI in this specific environment. Produce a documented blueprint: what to build, what order, and why. That blueprint is yours before the build starts.
02
Inside the real environment from day one
Algorama engineers work in the client's actual repos, pipelines, and tooling. Systems are built and validated against real data in the real environment.
03
Outcomes agreed before we start
Before anything reaches production, we define what working means for this system. Accuracy benchmarks. Failure mode documentation. A system that cannot be measured cannot be trusted.
04
Responsible for it running
The engagement extends beyond go-live. Algorama monitors production performance, flags issues, and improves proactively. The team that built the system stays responsible for it running.
FEATURED CASE STUDIES
What gets built belongs to the client.
CASE STUDY · PROPTECH SAAS
Proprietary IP, transferred in full on delivery.
A PropTech platform that needed AI infrastructure it could own outright. Algorama rebuilt the core and handed over an architecture they own completely.
✓
Hardcoded API replaced with autonomous agent architecture
✓
Valuation targets exceeded post-build
FEATURED
PROPTECH SAAS
Flow Intelligence
CASE STUDY · HEALTHCARE OPERATIONS
80% of manual roles eliminated.
Manual intake and case coordination automated end to end with Voice AI.
✓
Offshore call centre replaced with Voice AI
✓
End-to-end case coordination automated
FEATURED
HEALTHCARE OPERATIONS
Preferred Med Network
CASE STUDY · ENTERPRISE BIOTECH
$2.5M in annual savings.
Global biotech. 40 country network. 168 contracted engineers managing it manually. Algorama automated the operations layer and made the headcount structurally unnecessary.
✓
168 contractors reduced to 19 engineers
✓
10,000+ devices monitored autonomously
Read case study
→
FEATURED
ENTERPRISE BIOTECH
Amgen
CASE STUDY · ENTERPRISE SECURITY
17 global sites, identity-based segmentation.
Legacy perimeter security left R&D and scientific device assets with no granular policy control. Algorama deployed zero-trust segmentation across 17 sites with zero research disruption.
✓
R&D and scientific assets secured by policy enforcement
✓
Zero disruption to active research environments
Read case study
→
FEATURED
ENTERPRISE SECURITY
Pfizer
CASE STUDY · PHARMA · POST-ACQUISITION
Zero audit findings, post-acquisition.
Decentralized IT across Kite and Gilead needed full unification under one Security Operations Center without disrupting FDA-regulated manufacturing timelines.
✓
100% adherence to FDA standards, critical systems
✓
Teams migrated onto uniform, automated Agile delivery
Read case study
→
FEATURED
PHARMA · POST-ACQUISITION
Kite Pharma
CASE STUDY · ENTERPRISE SECURITY
20+ security platforms, managed in parallel.
20+ disconnected enterprise security platforms needed simultaneous implementation and audit across a GxP-qualified environment. Algorama’s interoperability engine closed every visibility gap.
✓
Continuous compliance across all FDA-regulated environments
✓
Multi-million dollar program budgets tracked automatically
Read case study
→
FEATURED
ENTERPRISE SECURITY
Gilead Sciences
CASE STUDY · HEALTHCARE STAFFING
60 sec partner onboarding, down from 3 days.
A distributed VA placement business ran on disconnected, manual tools. Algorama built Rockstar OS, a fully owned platform with silent one-click partner authentication.
✓
95% projected reduction in invoice processing time
✓
8+ disconnected tools consolidated into one platform
Read case study
→
FEATURED
HEALTHCARE STAFFING
Virtual Rockstar
CASE STUDY · UTILITIES
95% of billing tasks automated.
24/7 aerial electrification billing relied on manual data consolidation across every shift. Algorama’s agents now ingest field data and generate compliant invoices automatically.
✓
Every billable dollar captured, no manual reconciliation
✓
Unlimited crew growth with zero added back-office hires
Read case study
→
FEATURED
UTILITIES
C&G Energy Services
CASE STUDY · E-COMMERCE
1M+ SKUs optimised in 5 days.
Five years of projected manual SEO rewrites for 1M+ product SKUs, compressed into five days by autonomous agents, with a pipeline that now processes 6,000+ new SKUs weekly.
✓
6,000+ new SKUs processed automatically every week
✓
Search relevance and sales growing continuously
Read case study
→
FEATURED
E-COMMERCE
iCanvas
CASE STUDY · OIL & GAS
83% faster project close-off.
A manual, three-month project close-off process was throttling revenue recognition. Algorama’s multi-agent system automated document collection, approvals, and tracking end to end.
✓
3 months to 2 weeks, close-off cycle time
✓
$300K in estimated annual savings
Read case study
→
FEATURED
OIL & GAS
Vantris Energy
CASE STUDY · HEALTHCARE · CLINICAL OT SECURITY
47,885 devices classified and secured.
130,000+ devices across 17 hospitals with no classification architecture. Algorama built automated TrustSec enforcement mapping every device into governed security groups.
✓
Unclassified devices cut from 23,500+ to under 5%
✓
200+ locations under one policy layer
Read case study
→
FEATURED
CLINICAL OT SECURITY
IU Health
CASE STUDY · GOVERNMENT HEALTHCARE
100% AAL2/AAL3 coverage, statewide.
A state health department needed phishing-resistant MFA to federal AAL2/AAL3 standards across every clinical and remote-access population. Algorama designed and rolled out the enterprise IAM system end to end.
✓
Enterprise-wide phishing-resistant MFA in production
✓
Phased rollout with zero clinical workflow disruption
Read case study
→
FEATURED
GOVERNMENT HEALTHCARE
Florida Health
CASE STUDY · PROPTECH SAAS
Proprietary IP, transferred in full on delivery.
A PropTech platform that needed AI infrastructure it could own outright. Algorama rebuilt the core and handed over an architecture they own completely.
✓
Hardcoded API replaced with autonomous agent architecture
✓
Valuation targets exceeded post-build
FEATURED
PROPTECH SAAS
Flow Intelligence
CASE STUDY · HEALTHCARE OPERATIONS
80% of manual roles eliminated.
Manual intake and case coordination automated end to end with Voice AI.
✓
Offshore call centre replaced with Voice AI
✓
End-to-end case coordination automated
FEATURED
HEALTHCARE OPERATIONS
Preferred Med Network
CASE STUDY · ENTERPRISE BIOTECH
$2.5M in annual savings.
Global biotech. 40 country network. 168 contracted engineers managing it manually. Algorama automated the operations layer and made the headcount structurally unnecessary.
✓
168 contractors reduced to 19 engineers
✓
10,000+ devices monitored autonomously
Read case study
→
FEATURED
ENTERPRISE BIOTECH
Amgen
CASE STUDY · ENTERPRISE SECURITY
17 global sites, identity-based segmentation.
Legacy perimeter security left R&D and scientific device assets with no granular policy control. Algorama deployed zero-trust segmentation across 17 sites with zero research disruption.
✓
R&D and scientific assets secured by policy enforcement
✓
Zero disruption to active research environments
Read case study
→
FEATURED
ENTERPRISE SECURITY
Pfizer
CASE STUDY · PHARMA · POST-ACQUISITION
Zero audit findings, post-acquisition.
Decentralized IT across Kite and Gilead needed full unification under one Security Operations Center without disrupting FDA-regulated manufacturing timelines.
✓
100% adherence to FDA standards, critical systems
✓
Teams migrated onto uniform, automated Agile delivery
Read case study
→
FEATURED
PHARMA · POST-ACQUISITION
Kite Pharma
CASE STUDY · ENTERPRISE SECURITY
20+ security platforms, managed in parallel.
20+ disconnected enterprise security platforms needed simultaneous implementation and audit across a GxP-qualified environment. Algorama’s interoperability engine closed every visibility gap.
✓
Continuous compliance across all FDA-regulated environments
✓
Multi-million dollar program budgets tracked automatically
Read case study
→
FEATURED
ENTERPRISE SECURITY
Gilead Sciences
CASE STUDY · HEALTHCARE STAFFING
60 sec partner onboarding, down from 3 days.
A distributed VA placement business ran on disconnected, manual tools. Algorama built Rockstar OS, a fully owned platform with silent one-click partner authentication.
✓
95% projected reduction in invoice processing time
✓
8+ disconnected tools consolidated into one platform
Read case study
→
FEATURED
HEALTHCARE STAFFING
Virtual Rockstar
CASE STUDY · UTILITIES
95% of billing tasks automated.
24/7 aerial electrification billing relied on manual data consolidation across every shift. Algorama’s agents now ingest field data and generate compliant invoices automatically.
✓
Every billable dollar captured, no manual reconciliation
✓
Unlimited crew growth with zero added back-office hires
Read case study
→
FEATURED
UTILITIES
C&G Energy Services
CASE STUDY · E-COMMERCE
1M+ SKUs optimised in 5 days.
Five years of projected manual SEO rewrites for 1M+ product SKUs, compressed into five days by autonomous agents, with a pipeline that now processes 6,000+ new SKUs weekly.
✓
6,000+ new SKUs processed automatically every week
✓
Search relevance and sales growing continuously
Read case study
→
FEATURED
E-COMMERCE
iCanvas
CASE STUDY · OIL & GAS
83% faster project close-off.
A manual, three-month project close-off process was throttling revenue recognition. Algorama’s multi-agent system automated document collection, approvals, and tracking end to end.
✓
3 months to 2 weeks, close-off cycle time
✓
$300K in estimated annual savings
Read case study
→
FEATURED
OIL & GAS
Vantris Energy
CASE STUDY · HEALTHCARE · CLINICAL OT SECURITY
47,885 devices classified and secured.
130,000+ devices across 17 hospitals with no classification architecture. Algorama built automated TrustSec enforcement mapping every device into governed security groups.
✓
Unclassified devices cut from 23,500+ to under 5%
✓
200+ locations under one policy layer
Read case study
→
FEATURED
CLINICAL OT SECURITY
IU Health
CASE STUDY · GOVERNMENT HEALTHCARE
100% AAL2/AAL3 coverage, statewide.
A state health department needed phishing-resistant MFA to federal AAL2/AAL3 standards across every clinical and remote-access population. Algorama designed and rolled out the enterprise IAM system end to end.
✓
Enterprise-wide phishing-resistant MFA in production
✓
Phased rollout with zero clinical workflow disruption
Read case study
→
FEATURED
GOVERNMENT HEALTHCARE
Florida Health
CASE STUDY · PROPTECH SAAS
Proprietary IP, transferred in full on delivery.
A PropTech platform that needed AI infrastructure it could own outright. Algorama rebuilt the core and handed over an architecture they own completely.
✓
Hardcoded API replaced with autonomous agent architecture
✓
Valuation targets exceeded post-build
CASE STUDY · HEALTHCARE OPERATIONS
80% of manual roles eliminated.
Manual intake and case coordination automated end to end with Voice AI.
✓
Offshore call centre replaced with Voice AI
✓
End-to-end case coordination automated
CASE STUDY · ENTERPRISE BIOTECH
$2.5M in annual savings.
Global biotech. 40 country network. 168 contracted engineers managing it manually. Algorama automated the operations layer and made the headcount structurally unnecessary.
✓
168 contractors reduced to 19 engineers
✓
10,000+ devices monitored autonomously
Read case study
→
CASE STUDY · GOVERNMENT HEALTHCARE
100% AAL2/AAL3 coverage, statewide.
A state health department needed phishing-resistant MFA to federal AAL2/AAL3 standards across every clinical and remote-access population. Algorama designed and rolled out the enterprise IAM system end to end.
✓
Enterprise-wide phishing-resistant MFA in production
✓
Phased rollout with zero clinical workflow disruption
Read case study
→
CASE STUDY · HEALTHCARE · CLINICAL OT SECURITY
47,885 devices classified and secured.
130,000+ devices across 17 hospitals with no classification architecture. Algorama built automated TrustSec enforcement mapping every device into governed security groups.
✓
Unclassified devices cut from 23,500+ to under 5%
✓
200+ locations under one policy layer
Read case study
→
CASE STUDY · OIL & GAS
83% faster project close-off.
A manual, three-month project close-off process was throttling revenue recognition. Algorama’s multi-agent system automated document collection, approvals, and tracking end to end.
✓
3 months to 2 weeks, close-off cycle time
✓
$300K in estimated annual savings
Read case study
→
CASE STUDY · E-COMMERCE
1M+ SKUs optimised in 5 days.
Five years of projected manual SEO rewrites for 1M+ product SKUs, compressed into five days by autonomous agents, with a pipeline that now processes 6,000+ new SKUs weekly.
✓
6,000+ new SKUs processed automatically every week
✓
Search relevance and sales growing continuously
Read case study
→
CASE STUDY · UTILITIES
95% of billing tasks automated.
24/7 aerial electrification billing relied on manual data consolidation across every shift. Algorama’s agents now ingest field data and generate compliant invoices automatically.
✓
Every billable dollar captured, no manual reconciliation
✓
Unlimited crew growth with zero added back-office hires
Read case study
→
CASE STUDY · HEALTHCARE STAFFING
60 sec partner onboarding, down from 3 days.
A distributed VA placement business ran on disconnected, manual tools. Algorama built Rockstar OS, a fully owned platform with silent one-click partner authentication.
✓
95% projected reduction in invoice processing time
✓
8+ disconnected tools consolidated into one platform
Read case study
→
CASE STUDY · ENTERPRISE SECURITY
20+ security platforms, managed in parallel.
20+ disconnected enterprise security platforms needed simultaneous implementation and audit across a GxP-qualified environment. Algorama’s interoperability engine closed every visibility gap.
✓
Continuous compliance across all FDA-regulated environments
✓
Multi-million dollar program budgets tracked automatically
Read case study
→
CASE STUDY · PHARMA · POST-ACQUISITION
Zero audit findings, post-acquisition.
Decentralized IT across Kite and Gilead needed full unification under one Security Operations Center without disrupting FDA-regulated manufacturing timelines.
✓
100% adherence to FDA standards, critical systems
✓
Teams migrated onto uniform, automated Agile delivery
Read case study
→
CASE STUDY · ENTERPRISE SECURITY
17 global sites, identity-based segmentation.
Legacy perimeter security left R&D and scientific device assets with no granular policy control. Algorama deployed zero-trust segmentation across 17 sites with zero research disruption.
✓
R&D and scientific assets secured by policy enforcement
✓
Zero disruption to active research environments
Read case study
→
DRAG ↔ OR USE ←/→
DRAG ↔ OR USE ←/→
Completely yours on the day we finish.
Every engagement ends with a system that belongs to your company completely. It runs independently, documented for any competent engineer to own, extend, and show to an acquirer. Book a strategy call and bring the problem.
Every engagement ends with a system that belongs to your company completely. It runs independently, documented for any competent engineer to own, extend, and show to an acquirer. Book a strategy call and bring the problem.
Scientific AI. Yours on completion.
© 2026 Algorama. Scientific AI, owned by you.
Scientific AI. Yours on completion.
© 2026 Algorama. Scientific AI, owned by you.