The Fort Worth Press - Axonis Emerges From Stealth With Federated AI Architecture That Brings AI to the Data, Names Todd Barr as CEO

USD -
AED 3.672956
AFN 64.505228
ALL 81.040385
AMD 377.50973
ANG 1.79008
AOA 916.999969
ARS 1404.50598
AUD 1.403519
AWG 1.8
AZN 1.696617
BAM 1.642722
BBD 2.014547
BDT 122.351617
BGN 1.67937
BHD 0.377026
BIF 2955
BMD 1
BND 1.262741
BOB 6.911728
BRL 5.200299
BSD 1.000176
BTN 90.647035
BWP 13.104482
BYN 2.868926
BYR 19600
BZD 2.011608
CAD 1.35747
CDF 2225.000264
CHF 0.77153
CLF 0.021661
CLP 855.309788
CNY 6.91325
CNH 6.908785
COP 3670.12
CRC 494.712705
CUC 1
CUP 26.5
CVE 92.896859
CZK 20.43415
DJF 177.720241
DKK 6.29349
DOP 62.625016
DZD 129.579728
EGP 46.768404
ERN 15
ETB 155.050329
EUR 0.84235
FJD 2.18585
FKP 0.731875
GBP 0.73416
GEL 2.689773
GGP 0.731875
GHS 11.005011
GIP 0.731875
GMD 73.480153
GNF 8780.000439
GTQ 7.671019
GYD 209.257595
HKD 7.817865
HNL 26.505018
HRK 6.345799
HTG 131.086819
HUF 319.612498
IDR 16789.4
ILS 3.077095
IMP 0.731875
INR 90.71835
IQD 1310.5
IRR 42125.000158
ISK 122.310218
JEP 0.731875
JMD 156.494496
JOD 0.709058
JPY 153.28804
KES 128.999901
KGS 87.449981
KHR 4029.99977
KMF 414.999995
KPW 899.999067
KRW 1445.320096
KWD 0.30695
KYD 0.83354
KZT 493.505294
LAK 21445.00001
LBP 89733.661066
LKR 309.394121
LRD 186.550156
LSL 15.859909
LTL 2.95274
LVL 0.60489
LYD 6.30377
MAD 9.13875
MDL 16.898415
MGA 4429.999957
MKD 51.905343
MMK 2099.913606
MNT 3568.190929
MOP 8.053234
MRU 39.905016
MUR 45.709754
MVR 15.459761
MWK 1736.498954
MXN 17.18487
MYR 3.915006
MZN 63.897938
NAD 15.959808
NGN 1351.219876
NIO 36.714952
NOK 9.491225
NPR 145.034815
NZD 1.65331
OMR 0.384496
PAB 1.000181
PEN 3.354948
PGK 4.183501
PHP 58.210158
PKR 279.599936
PLN 3.55107
PYG 6605.156289
QAR 3.64125
RON 4.286501
RSD 98.87949
RUB 77.096736
RWF 1452.5
SAR 3.750421
SBD 8.048395
SCR 13.923955
SDG 601.500709
SEK 8.896815
SGD 1.26201
SHP 0.750259
SLE 24.250448
SLL 20969.499267
SOS 571.501804
SRD 37.777031
STD 20697.981008
STN 20.95
SVC 8.752
SYP 11059.574895
SZL 15.86027
THB 31.040991
TJS 9.391982
TMT 3.5
TND 2.83525
TOP 2.40776
TRY 43.636199
TTD 6.783192
TWD 31.351501
TZS 2590.153989
UAH 43.034895
UGX 3536.076803
UYU 38.350895
UZS 12300.000209
VES 388.253525
VND 26000
VUV 119.366255
WST 2.707053
XAF 550.953523
XAG 0.011844
XAU 0.000197
XCD 2.70255
XCG 1.802643
XDR 0.685659
XOF 549.498647
XPF 100.7501
YER 238.40052
ZAR 15.87941
ZMK 9001.197564
ZMW 19.029301
ZWL 321.999592
  • CMSD

    -0.0100

    24.07

    -0.04%

  • RBGPF

    0.1000

    82.5

    +0.12%

  • RYCEF

    -0.4800

    16.93

    -2.84%

  • CMSC

    0.0084

    23.7

    +0.04%

  • NGG

    1.8800

    90.64

    +2.07%

  • BCC

    -0.3200

    89.41

    -0.36%

  • BCE

    -0.1800

    25.65

    -0.7%

  • GSK

    -0.3300

    58.49

    -0.56%

  • RIO

    2.2800

    99.52

    +2.29%

  • BTI

    0.1400

    60.33

    +0.23%

  • VOD

    0.4300

    15.68

    +2.74%

  • JRI

    0.3500

    13.13

    +2.67%

  • RELX

    -1.5600

    27.73

    -5.63%

  • BP

    1.5800

    38.55

    +4.1%

  • AZN

    11.3600

    204.76

    +5.55%

Axonis Emerges From Stealth With Federated AI Architecture That Brings AI to the Data, Names Todd Barr as CEO
Axonis Emerges From Stealth With Federated AI Architecture That Brings AI to the Data, Names Todd Barr as CEO

Axonis Emerges From Stealth With Federated AI Architecture That Brings AI to the Data, Names Todd Barr as CEO

Incubated for DoD & Intelligence use cases, startup announces commercial availability of enterprise AI platform, delivering the fastest path to secure production AI

Text size:

ARLINGTON, MA / ACCESS Newswire / December 10, 2025 / Axonis, the federated AI infrastructure platform that enables enterprises to run AI directly on distributed, sensitive, and real-time production data, today emerged from stealth with a production-ready architecture that brings AI to any data, wherever it lives. The company also announced the appointment of Todd Barr as Chief Executive Officer. Barr, formerly of Red Hat, Chainlink, and GitLab, will lead Axonis as it commercializes its DoD-hardened architecture for the enterprise market. Barr joins technical founders David Bauer, PhD, and Chris Yonclas, distributed systems and AI/ML experts for the US Army, DARPA, and multiple US government cloud, intelligence, and digital transformation initiatives.

Axonis leadership: Todd Barr, CEO; Aimee D'Onofrio, COO; Chris Yonclas, Co-founder & CPO; David Bauer, PhD, Co-founder & CTO

The Axonis platform introduces a new architectural model that brings AI to the data, eliminating the need for data migration or duplication and delivering secure, immediate, and scalable AI for training, fine-tuning, and deploying models across cloud, on-prem, and edge environments. Axonis complements and protects existing cloud and data lake investments by providing a parallel path that enables organizations to act on raw, real-time data immediately, without slowing down or rethinking their centralization strategy.

As Barr leads Axonis into its commercialization phase following two years of incubation within a US government military contractor (T2S Solutions, part of the Madison Dearborn portfolio), the company is now fully independent and positioned to address one of the biggest barriers in AI adoption: operationalizing AI on data that is too fragmented, regulated, or mission-critical to move.

"Enterprises are quickly realizing that the real barrier to AI isn't modeling; it's getting AI models into production," said Matt Norton, Partner and Head of Technology & Government at Madison Dearborn. "Axonis solves this problem at the architectural level, and Todd has the go-to-market experience to bring that solution to market at scale."

Data Centralization: Where AI Works in Theory, Not Practice

Enterprises continue to struggle with taking models from proof of concept to production because some of their most valuable data-transactions, customer data, logs, sensor streams, images, and other real-time signals-cannot be moved to a centralized environment. Regulatory constraints, cost, latency, and operational risk make traditional data centralization strategies slow, expensive, and often impossible to fully achieve. As a result, AI adoption stalls at the exact moment organizations attempt to deploy models into mission-critical workflows.

Axonis Architecture: Bring AI to the Data

Axonis solves this production bottleneck with a federated AI architecture that executes models directly where data is generated and governed. Instead of moving terabytes of sensitive data, Axonis moves lightweight models, enabling:

  • Training, fine-tuning, and inference on live production data

  • Streamlined ELT at runtime for both training and inference

  • Real-time intelligence across distributed, centralized, and edge environments

  • Secure execution without creating new data copies

  • Model collaboration across organizations without sharing raw or sensitive data

This model-to-data approach dramatically reduces data movement, improves model freshness, and unlocks up to 12x faster time-to-AI value.

"After the ChatGPT-style quick wins, enterprises are realizing that they have an architecture problem standing in the way of true business transformation with AI," said Barr. "Axonis delivers a secure, AI-ready architecture for data and AI compute that will underpin and unlock the business transformation possible by GenAI and agents, without having to run a big IT data centralization project to get there."

Engineered for Defense, Built for Enterprise Scale

Axonis' architecture originated inside T2S Solutions to support the U.S. Department of Defense and Intelligence Community, where systems must operate under extreme constraints:

  • Intelligence must be close to the data

  • Data security is survival

  • Connectivity is limited or intermittent

  • Data is chaotic and everywhere

  • Every action must be governed and auditable

These requirements shaped Axonis into a high-assurance platform that meets and exceeds the security, sovereignty, and operational demands of industries such as healthcare, financial services, insurance, manufacturing, critical infrastructure, and the public sector.

"We've spent the better part of six years engineering the AI architecture in Axonis that will support environments where failure isn't an option," said David Bauer, Chief Technology Officer and technical co-founder of Axonis. "Those same capabilities-distributed execution, zero-trust security, and model-to-data design-are exactly what enterprises now need to safely and reliably run AI in production."

Built to Integrate, Designed to Collaborate

Axonis is a cloud-native enterprise solution that fits seamlessly into existing enterprise data and AI ecosystems, including Snowflake, Databricks, MinIO, Iceberg, Jupyter, and leading AI frameworks. The platform also unlocks a new model of cross-organization collaboration: teams can share intelligence without sharing or pooling data, allowing each party to benefit from federated learning while keeping sensitive information fully protected. Because Axonis applies security at the data level, even agentic AI systems and chatbots cannot access or act on information they are not authorized to see, bringing a new level of control and data protection to enterprise AI deployments.

About Axonis
Axonis brings AI to the data, wherever that data lives. Originally developed inside a US government solutions provider to the U.S. Department of Defense and Intelligence Community, Axonis enables secure, real-time AI on production, operational, sovereign, and edge data without moving the data. Axonis accelerates time-to-AI value while providing zero-trust, data-level security, and enabling cross-organization AI collaboration without sharing data.

For more information, visit axonis.ai.

Press Contact

Kristin Canders
207-974-7744
[email protected]

###

SOURCE: Axonis



View the original press release on ACCESS Newswire

H.M.Hernandez--TFWP